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1. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Author: Lee, Jinhyuk, Chen, Anthony, Dai, Zhuyun, Dua, Dheeru, Sachan, Devendra Singh, Boratko, Michael, Luan, Yi, Arnold, Sébastien M. R., Perot, Vincent, Dalmia, Siddharth, Hu, Hexiang, Lin, Xudong, Pasupat, Panupong, Amini, Aida, Cole, Jeremy R., Riedel, Sebastian, Naim, Iftekhar, Chang, Ming-Wei, and Guu, Kelvin
Subjects: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval
Abstract: Long-context language models (LCLMs) have the potential to revolutionize our approach to tasks traditionally reliant on external tools like retrieval systems or databases. Leveraging LCLMs' ability to natively ingest and process entire corpora of information offers numerous advantages. It enhances user-friendliness by eliminating the need for specialized knowledge of tools, provides robust end-to-end modeling that minimizes cascading errors in complex pipelines, and allows for the application of sophisticated prompting techniques across the entire system. To assess this paradigm shift, we introduce LOFT, a benchmark of real-world tasks requiring context up to millions of tokens designed to evaluate LCLMs' performance on in-context retrieval and reasoning. Our findings reveal LCLMs' surprising ability to rival state-of-the-art retrieval and RAG systems, despite never having been explicitly trained for these tasks. However, LCLMs still face challenges in areas like compositional reasoning that are required in SQL-like tasks. Notably, prompting strategies significantly influence performance, emphasizing the need for continued research as context lengths grow. Overall, LOFT provides a rigorous testing ground for LCLMs, showcasing their potential to supplant existing paradigms and tackle novel tasks as model capabilities scale., Comment: 29 pages. Dataset available at https://github.com/google-deepmind/loft
Published: 2024

2. Gecko: Versatile Text Embeddings Distilled from Large Language Models

Author: Lee, Jinhyuk, Dai, Zhuyun, Ren, Xiaoqi, Chen, Blair, Cer, Daniel, Cole, Jeremy R., Hui, Kai, Boratko, Michael, Kapadia, Rajvi, Ding, Wen, Luan, Yi, Duddu, Sai Meher Karthik, Abrego, Gustavo Hernandez, Shi, Weiqiang, Gupta, Nithi, Kusupati, Aditya, Jain, Prateek, Jonnalagadda, Siddhartha Reddy, Chang, Ming-Wei, and Naim, Iftekhar
Subjects: Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract: We present Gecko, a compact and versatile text embedding model. Gecko achieves strong retrieval performance by leveraging a key idea: distilling knowledge from large language models (LLMs) into a retriever. Our two-step distillation process begins with generating diverse, synthetic paired data using an LLM. Next, we further refine the data quality by retrieving a set of candidate passages for each query, and relabeling the positive and hard negative passages using the same LLM. The effectiveness of our approach is demonstrated by the compactness of the Gecko. On the Massive Text Embedding Benchmark (MTEB), Gecko with 256 embedding dimensions outperforms all existing entries with 768 embedding size. Gecko with 768 embedding dimensions achieves an average score of 66.31, competing with 7x larger models and 5x higher dimensional embeddings., Comment: 18 pages
Published: 2024

3. Gemini: A Family of Highly Capable Multimodal Models

Author: Gemini Team, Anil, Rohan, Borgeaud, Sebastian, Alayrac, Jean-Baptiste, Yu, Jiahui, Soricut, Radu, Schalkwyk, Johan, Dai, Andrew M., Hauth, Anja, Millican, Katie, Silver, David, Johnson, Melvin, Antonoglou, Ioannis, Schrittwieser, Julian, Glaese, Amelia, Chen, Jilin, Pitler, Emily, Lillicrap, Timothy, Lazaridou, Angeliki, Firat, Orhan, Molloy, James, Isard, Michael, Barham, Paul R., Hennigan, Tom, Lee, Benjamin, Viola, Fabio, Reynolds, Malcolm, Xu, Yuanzhong, Doherty, Ryan, Collins, Eli, Meyer, Clemens, Rutherford, Eliza, Moreira, Erica, Ayoub, Kareem, Goel, Megha, Krawczyk, Jack, Du, Cosmo, Chi, Ed, Cheng, Heng-Tze, Ni, Eric, Shah, Purvi, Kane, Patrick, Chan, Betty, Faruqui, Manaal, Severyn, Aliaksei, Lin, Hanzhao, Li, YaGuang, Cheng, Yong, Ittycheriah, Abe, Mahdieh, Mahdis, Chen, Mia, Sun, Pei, Tran, Dustin, Bagri, Sumit, Lakshminarayanan, Balaji, Liu, Jeremiah, Orban, Andras, Güra, Fabian, Zhou, Hao, Song, Xinying, Boffy, Aurelien, Ganapathy, Harish, Zheng, Steven, Choe, HyunJeong, Weisz, Ágoston, Zhu, Tao, Lu, Yifeng, Gopal, Siddharth, Kahn, Jarrod, Kula, Maciej, Pitman, Jeff, Shah, Rushin, Taropa, Emanuel, Merey, Majd Al, Baeuml, Martin, Chen, Zhifeng, Shafey, Laurent El, Zhang, Yujing, Sercinoglu, Olcan, Tucker, George, Piqueras, Enrique, Krikun, Maxim, Barr, Iain, Savinov, Nikolay, Danihelka, Ivo, Roelofs, Becca, White, Anaïs, Andreassen, Anders, von Glehn, Tamara, Yagati, Lakshman, Kazemi, Mehran, Gonzalez, Lucas, Khalman, Misha, Sygnowski, Jakub, Frechette, Alexandre, Smith, Charlotte, Culp, Laura, Proleev, Lev, Luan, Yi, Chen, Xi, Lottes, James, Schucher, Nathan, Lebron, Federico, Rrustemi, Alban, Clay, Natalie, Crone, Phil, Kocisky, Tomas, Zhao, Jeffrey, Perz, Bartek, Yu, Dian, Howard, Heidi, Bloniarz, Adam, Rae, Jack W., Lu, Han, Sifre, Laurent, Maggioni, Marcello, Alcober, Fred, Garrette, Dan, Barnes, Megan, Thakoor, Shantanu, Austin, Jacob, Barth-Maron, Gabriel, Wong, William, Joshi, Rishabh, Chaabouni, Rahma, Fatiha, Deeni, Ahuja, Arun, Tomar, Gaurav Singh, Senter, Evan, Chadwick, Martin, Kornakov, Ilya, Attaluri, Nithya, Iturrate, Iñaki, Liu, Ruibo, Li, Yunxuan, Cogan, Sarah, Chen, Jeremy, Jia, Chao, Gu, Chenjie, Zhang, Qiao, Grimstad, Jordan, Hartman, Ale Jakse, Garcia, Xavier, Pillai, Thanumalayan Sankaranarayana, Devlin, Jacob, Laskin, Michael, Casas, Diego de Las, Valter, Dasha, Tao, Connie, Blanco, Lorenzo, Badia, Adrià Puigdomènech, Reitter, David, Chen, Mianna, Brennan, Jenny, Rivera, Clara, Brin, Sergey, Iqbal, Shariq, Surita, Gabriela, Labanowski, Jane, Rao, Abhi, Winkler, Stephanie, Parisotto, Emilio, Gu, Yiming, Olszewska, Kate, Addanki, Ravi, Miech, Antoine, Louis, Annie, Teplyashin, Denis, Brown, Geoff, Catt, Elliot, Balaguer, Jan, Xiang, Jackie, Wang, Pidong, Ashwood, Zoe, Briukhov, Anton, Webson, Albert, Ganapathy, Sanjay, Sanghavi, Smit, Kannan, Ajay, Chang, Ming-Wei, Stjerngren, Axel, Djolonga, Josip, Sun, Yuting, Bapna, Ankur, Aitchison, Matthew, Pejman, Pedram, Michalewski, Henryk, Yu, Tianhe, Wang, Cindy, Love, Juliette, Ahn, Junwhan, Bloxwich, Dawn, Han, Kehang, Humphreys, Peter, Sellam, Thibault, Bradbury, James, Godbole, Varun, Samangooei, Sina, Damoc, Bogdan, Kaskasoli, Alex, Arnold, Sébastien M. R., Vasudevan, Vijay, Agrawal, Shubham, Riesa, Jason, Lepikhin, Dmitry, Tanburn, Richard, Srinivasan, Srivatsan, Lim, Hyeontaek, Hodkinson, Sarah, Shyam, Pranav, Ferret, Johan, Hand, Steven, Garg, Ankush, Paine, Tom Le, Li, Jian, Li, Yujia, Giang, Minh, Neitz, Alexander, Abbas, Zaheer, York, Sarah, Reid, Machel, Cole, Elizabeth, Chowdhery, Aakanksha, Das, Dipanjan, Rogozińska, Dominika, Nikolaev, Vitaliy, Sprechmann, Pablo, Nado, Zachary, Zilka, Lukas, Prost, Flavien, He, Luheng, Monteiro, Marianne, Mishra, Gaurav, Welty, Chris, Newlan, Josh, Jia, Dawei, Allamanis, Miltiadis, Hu, Clara Huiyi, de Liedekerke, Raoul, Gilmer, Justin, Saroufim, Carl, Rijhwani, Shruti, Hou, Shaobo, Shrivastava, Disha, Baddepudi, Anirudh, Goldin, Alex, Ozturel, Adnan, Cassirer, Albin, Xu, Yunhan, Sohn, Daniel, Sachan, Devendra, Amplayo, Reinald Kim, Swanson, Craig, Petrova, Dessie, Narayan, Shashi, Guez, Arthur, Brahma, Siddhartha, Landon, Jessica, Patel, Miteyan, Zhao, Ruizhe, Villela, Kevin, Wang, Luyu, Jia, Wenhao, Rahtz, Matthew, Giménez, Mai, Yeung, Legg, Keeling, James, Georgiev, Petko, Mincu, Diana, Wu, Boxi, Haykal, Salem, Saputro, Rachel, Vodrahalli, Kiran, Qin, James, Cankara, Zeynep, Sharma, Abhanshu, Fernando, Nick, Hawkins, Will, Neyshabur, Behnam, Kim, Solomon, Hutter, Adrian, Agrawal, Priyanka, Castro-Ros, Alex, Driessche, George van den, Wang, Tao, Yang, Fan, Chang, Shuo-yiin, Komarek, Paul, McIlroy, Ross, Lučić, Mario, Zhang, Guodong, Farhan, Wael, Sharman, Michael, Natsev, Paul, Michel, Paul, Bansal, Yamini, Qiao, Siyuan, Cao, Kris, Shakeri, Siamak, Butterfield, Christina, Chung, Justin, Rubenstein, Paul Kishan, Agrawal, Shivani, Mensch, Arthur, Soparkar, Kedar, Lenc, Karel, Chung, Timothy, Pope, Aedan, Maggiore, Loren, Kay, Jackie, Jhakra, Priya, Wang, Shibo, Maynez, Joshua, Phuong, Mary, Tobin, Taylor, Tacchetti, Andrea, Trebacz, Maja, Robinson, Kevin, Katariya, Yash, Riedel, Sebastian, Bailey, Paige, Xiao, Kefan, Ghelani, Nimesh, Aroyo, Lora, Slone, Ambrose, Houlsby, Neil, Xiong, Xuehan, Yang, Zhen, Gribovskaya, Elena, Adler, Jonas, Wirth, Mateo, Lee, Lisa, Li, Music, Kagohara, Thais, Pavagadhi, Jay, Bridgers, Sophie, Bortsova, Anna, Ghemawat, Sanjay, Ahmed, Zafarali, Liu, Tianqi, Powell, Richard, Bolina, Vijay, Iinuma, Mariko, Zablotskaia, Polina, Besley, James, Chung, Da-Woon, Dozat, Timothy, Comanescu, Ramona, Si, Xiance, Greer, Jeremy, Su, Guolong, Polacek, Martin, Kaufman, Raphaël Lopez, Tokumine, Simon, Hu, Hexiang, Buchatskaya, Elena, Miao, Yingjie, Elhawaty, Mohamed, Siddhant, Aditya, Tomasev, Nenad, Xing, Jinwei, Greer, Christina, Miller, Helen, Ashraf, Shereen, Roy, Aurko, Zhang, Zizhao, Ma, Ada, Filos, Angelos, Besta, Milos, Blevins, Rory, Klimenko, Ted, Yeh, Chih-Kuan, Changpinyo, Soravit, Mu, Jiaqi, Chang, Oscar, Pajarskas, Mantas, Muir, Carrie, Cohen, Vered, Lan, Charline Le, Haridasan, Krishna, Marathe, Amit, Hansen, Steven, Douglas, Sholto, Samuel, Rajkumar, Wang, Mingqiu, Austin, Sophia, Lan, Chang, Jiang, Jiepu, Chiu, Justin, Lorenzo, Jaime Alonso, Sjösund, Lars Lowe, Cevey, Sébastien, Gleicher, Zach, Avrahami, Thi, Boral, Anudhyan, Srinivasan, Hansa, Selo, Vittorio, May, Rhys, Aisopos, Konstantinos, Hussenot, Léonard, Soares, Livio Baldini, Baumli, Kate, Chang, Michael B., Recasens, Adrià, Caine, Ben, Pritzel, Alexander, Pavetic, Filip, Pardo, Fabio, Gergely, Anita, Frye, Justin, Ramasesh, Vinay, Horgan, Dan, Badola, Kartikeya, Kassner, Nora, Roy, Subhrajit, Dyer, Ethan, Campos, Víctor Campos, Tomala, Alex, Tang, Yunhao, Badawy, Dalia El, White, Elspeth, Mustafa, Basil, Lang, Oran, Jindal, Abhishek, Vikram, Sharad, Gong, Zhitao, Caelles, Sergi, Hemsley, Ross, Thornton, Gregory, Feng, Fangxiaoyu, Stokowiec, Wojciech, Zheng, Ce, Thacker, Phoebe, Ünlü, Çağlar, Zhang, Zhishuai, Saleh, Mohammad, Svensson, James, Bileschi, Max, Patil, Piyush, Anand, Ankesh, Ring, Roman, Tsihlas, Katerina, Vezer, Arpi, Selvi, Marco, Shevlane, Toby, Rodriguez, Mikel, Kwiatkowski, Tom, Daruki, Samira, Rong, Keran, Dafoe, Allan, FitzGerald, Nicholas, Gu-Lemberg, Keren, Khan, Mina, Hendricks, Lisa Anne, Pellat, Marie, Feinberg, Vladimir, Cobon-Kerr, James, Sainath, Tara, Rauh, Maribeth, Hashemi, Sayed Hadi, Ives, Richard, Hasson, Yana, Noland, Eric, Cao, Yuan, Byrd, Nathan, Hou, Le, Wang, Qingze, Sottiaux, Thibault, Paganini, Michela, Lespiau, Jean-Baptiste, Moufarek, Alexandre, Hassan, Samer, Shivakumar, Kaushik, van Amersfoort, Joost, Mandhane, Amol, Joshi, Pratik, Goyal, Anirudh, Tung, Matthew, Brock, Andrew, Sheahan, Hannah, Misra, Vedant, Li, Cheng, Rakićević, Nemanja, Dehghani, Mostafa, Liu, Fangyu, Mittal, Sid, Oh, Junhyuk, Noury, Seb, Sezener, Eren, Huot, Fantine, Lamm, Matthew, De Cao, Nicola, Chen, Charlie, Mudgal, Sidharth, Stella, Romina, Brooks, Kevin, Vasudevan, Gautam, Liu, Chenxi, Chain, Mainak, Melinkeri, Nivedita, Cohen, Aaron, Wang, Venus, Seymore, Kristie, Zubkov, Sergey, Goel, Rahul, Yue, Summer, Krishnakumaran, Sai, Albert, Brian, Hurley, Nate, Sano, Motoki, Mohananey, Anhad, Joughin, Jonah, Filonov, Egor, Kępa, Tomasz, Eldawy, Yomna, Lim, Jiawern, Rishi, Rahul, Badiezadegan, Shirin, Bos, Taylor, Chang, Jerry, Jain, Sanil, Padmanabhan, Sri Gayatri Sundara, Puttagunta, Subha, Krishna, Kalpesh, Baker, Leslie, Kalb, Norbert, Bedapudi, Vamsi, Kurzrok, Adam, Lei, Shuntong, Yu, Anthony, Litvin, Oren, Zhou, Xiang, Wu, Zhichun, Sobell, Sam, Siciliano, Andrea, Papir, Alan, Neale, Robby, Bragagnolo, Jonas, Toor, Tej, Chen, Tina, Anklin, Valentin, Wang, Feiran, Feng, Richie, Gholami, Milad, Ling, Kevin, Liu, Lijuan, Walter, Jules, Moghaddam, Hamid, Kishore, Arun, Adamek, Jakub, Mercado, Tyler, Mallinson, Jonathan, Wandekar, Siddhinita, Cagle, Stephen, Ofek, Eran, Garrido, Guillermo, Lombriser, Clemens, Mukha, Maksim, Sun, Botu, Mohammad, Hafeezul Rahman, Matak, Josip, Qian, Yadi, Peswani, Vikas, Janus, Pawel, Yuan, Quan, Schelin, Leif, David, Oana, Garg, Ankur, He, Yifan, Duzhyi, Oleksii, Älgmyr, Anton, Lottaz, Timothée, Li, Qi, Yadav, Vikas, Xu, Luyao, Chinien, Alex, Shivanna, Rakesh, Chuklin, Aleksandr, Li, Josie, Spadine, Carrie, Wolfe, Travis, Mohamed, Kareem, Das, Subhabrata, Dai, Zihang, He, Kyle, von Dincklage, Daniel, Upadhyay, Shyam, Maurya, Akanksha, Chi, Luyan, Krause, Sebastian, Salama, Khalid, Rabinovitch, Pam G, M, Pavan Kumar Reddy, Selvan, Aarush, Dektiarev, Mikhail, Ghiasi, Golnaz, Guven, Erdem, Gupta, Himanshu, Liu, Boyi, Sharma, Deepak, Shtacher, Idan Heimlich, Paul, Shachi, Akerlund, Oscar, Aubet, François-Xavier, Huang, Terry, Zhu, Chen, Zhu, Eric, Teixeira, Elico, Fritze, Matthew, Bertolini, Francesco, Marinescu, Liana-Eleonora, Bölle, Martin, Paulus, Dominik, Gupta, Khyatti, Latkar, Tejasi, Chang, Max, Sanders, Jason, Wilson, Roopa, Wu, Xuewei, Tan, Yi-Xuan, Thiet, Lam Nguyen, Doshi, Tulsee, Lall, Sid, Mishra, Swaroop, Chen, Wanming, Luong, Thang, Benjamin, Seth, Lee, Jasmine, Andrejczuk, Ewa, Rabiej, Dominik, Ranjan, Vipul, Styrc, Krzysztof, Yin, Pengcheng, Simon, Jon, Harriott, Malcolm Rose, Bansal, Mudit, Robsky, Alexei, Bacon, Geoff, Greene, David, Mirylenka, Daniil, Zhou, Chen, Sarvana, Obaid, Goyal, Abhimanyu, Andermatt, Samuel, Siegler, Patrick, Horn, Ben, Israel, Assaf, Pongetti, Francesco, Chen, Chih-Wei "Louis", Selvatici, Marco, Silva, Pedro, Wang, Kathie, Tolins, Jackson, Guu, Kelvin, Yogev, Roey, Cai, Xiaochen, Agostini, Alessandro, Shah, Maulik, Nguyen, Hung, Donnaile, Noah Ó, Pereira, Sébastien, Friso, Linda, Stambler, Adam, Kuang, Chenkai, Romanikhin, Yan, Geller, Mark, Yan, ZJ, Jang, Kane, Lee, Cheng-Chun, Fica, Wojciech, Malmi, Eric, Tan, Qijun, Banica, Dan, Balle, Daniel, Pham, Ryan, Huang, Yanping, Avram, Diana, Shi, Hongzhi, Singh, Jasjot, Hidey, Chris, Ahuja, Niharika, Saxena, Pranab, Dooley, Dan, Potharaju, Srividya Pranavi, O'Neill, Eileen, Gokulchandran, Anand, Foley, Ryan, Zhao, Kai, Dusenberry, Mike, Liu, Yuan, Mehta, Pulkit, Kotikalapudi, Ragha, Safranek-Shrader, Chalence, Goodman, Andrew, Kessinger, Joshua, Globen, Eran, Kolhar, Prateek, Gorgolewski, Chris, Ibrahim, Ali, Song, Yang, Eichenbaum, Ali, Brovelli, Thomas, Potluri, Sahitya, Lahoti, Preethi, Baetu, Cip, Ghorbani, Ali, Chen, Charles, Crawford, Andy, Pal, Shalini, Sridhar, Mukund, Gurita, Petru, Mujika, Asier, Petrovski, Igor, Cedoz, Pierre-Louis, Li, Chenmei, Chen, Shiyuan, Santo, Niccolò Dal, Goyal, Siddharth, Punjabi, Jitesh, Kappaganthu, Karthik, Kwak, Chester, LV, Pallavi, Velury, Sarmishta, Choudhury, Himadri, Hall, Jamie, Shah, Premal, Figueira, Ricardo, Thomas, Matt, Lu, Minjie, Zhou, Ting, Kumar, Chintu, Jurdi, Thomas, Chikkerur, Sharat, Ma, Yenai, Yu, Adams, Kwak, Soo, Ähdel, Victor, Rajayogam, Sujeevan, Choma, Travis, Liu, Fei, Barua, Aditya, Ji, Colin, Park, Ji Ho, Hellendoorn, Vincent, Bailey, Alex, Bilal, Taylan, Zhou, Huanjie, Khatir, Mehrdad, Sutton, Charles, Rzadkowski, Wojciech, Macintosh, Fiona, Shagin, Konstantin, Medina, Paul, Liang, Chen, Zhou, Jinjing, Shah, Pararth, Bi, Yingying, Dankovics, Attila, Banga, Shipra, Lehmann, Sabine, Bredesen, Marissa, Lin, Zifan, Hoffmann, John Eric, Lai, Jonathan, Chung, Raynald, Yang, Kai, Balani, Nihal, Bražinskas, Arthur, Sozanschi, Andrei, Hayes, Matthew, Alcalde, Héctor Fernández, Makarov, Peter, Chen, Will, Stella, Antonio, Snijders, Liselotte, Mandl, Michael, Kärrman, Ante, Nowak, Paweł, Wu, Xinyi, Dyck, Alex, Vaidyanathan, Krishnan, R, Raghavender, Mallet, Jessica, Rudominer, Mitch, Johnston, Eric, Mittal, Sushil, Udathu, Akhil, Christensen, Janara, Verma, Vishal, Irving, Zach, Santucci, Andreas, Elsayed, Gamaleldin, Davoodi, Elnaz, Georgiev, Marin, Tenney, Ian, Hua, Nan, Cideron, Geoffrey, Leurent, Edouard, Alnahlawi, Mahmoud, Georgescu, Ionut, Wei, Nan, Zheng, Ivy, Scandinaro, Dylan, Jiang, Heinrich, Snoek, Jasper, Sundararajan, Mukund, Wang, Xuezhi, Ontiveros, Zack, Karo, Itay, Cole, Jeremy, Rajashekhar, Vinu, Tumeh, Lara, Ben-David, Eyal, Jain, Rishub, Uesato, Jonathan, Datta, Romina, Bunyan, Oskar, Wu, Shimu, Zhang, John, Stanczyk, Piotr, Zhang, Ye, Steiner, David, Naskar, Subhajit, Azzam, Michael, Johnson, Matthew, Paszke, Adam, Chiu, Chung-Cheng, Elias, Jaume Sanchez, Mohiuddin, Afroz, Muhammad, Faizan, Miao, Jin, Lee, Andrew, Vieillard, Nino, Park, Jane, Zhang, Jiageng, Stanway, Jeff, Garmon, Drew, Karmarkar, Abhijit, Dong, Zhe, Lee, Jong, Kumar, Aviral, Zhou, Luowei, Evens, Jonathan, Isaac, William, Irving, Geoffrey, Loper, Edward, Fink, Michael, Arkatkar, Isha, Chen, Nanxin, Shafran, Izhak, Petrychenko, Ivan, Chen, Zhe, Jia, Johnson, Levskaya, Anselm, Zhu, Zhenkai, Grabowski, Peter, Mao, Yu, Magni, Alberto, Yao, Kaisheng, Snaider, Javier, Casagrande, Norman, Palmer, Evan, Suganthan, Paul, Castaño, Alfonso, Giannoumis, Irene, Kim, Wooyeol, Rybiński, Mikołaj, Sreevatsa, Ashwin, Prendki, Jennifer, Soergel, David, Goedeckemeyer, Adrian, Gierke, Willi, Jafari, Mohsen, Gaba, Meenu, Wiesner, Jeremy, Wright, Diana Gage, Wei, Yawen, Vashisht, Harsha, Kulizhskaya, Yana, Hoover, Jay, Le, Maigo, Li, Lu, Iwuanyanwu, Chimezie, Liu, Lu, Ramirez, Kevin, Khorlin, Andrey, Cui, Albert, LIN, Tian, Wu, Marcus, Aguilar, Ricardo, Pallo, Keith, Chakladar, Abhishek, Perng, Ginger, Abellan, Elena Allica, Zhang, Mingyang, Dasgupta, Ishita, Kushman, Nate, Penchev, Ivo, Repina, Alena, Wu, Xihui, van der Weide, Tom, Ponnapalli, Priya, Kaplan, Caroline, Simsa, Jiri, Li, Shuangfeng, Dousse, Olivier, Piper, Jeff, Ie, Nathan, Pasumarthi, Rama, Lintz, Nathan, Vijayakumar, Anitha, Andor, Daniel, Valenzuela, Pedro, Lui, Minnie, Paduraru, Cosmin, Peng, Daiyi, Lee, Katherine, Zhang, Shuyuan, Greene, Somer, Nguyen, Duc Dung, Kurylowicz, Paula, Hardin, Cassidy, Dixon, Lucas, Janzer, Lili, Choo, Kiam, Feng, Ziqiang, Zhang, Biao, Singhal, Achintya, Du, Dayou, McKinnon, Dan, Antropova, Natasha, Bolukbasi, Tolga, Keller, Orgad, Reid, David, Finchelstein, Daniel, Raad, Maria Abi, Crocker, Remi, Hawkins, Peter, Dadashi, Robert, Gaffney, Colin, Franko, Ken, Bulanova, Anna, Leblond, Rémi, Chung, Shirley, Askham, Harry, Cobo, Luis C., Xu, Kelvin, Fischer, Felix, Xu, Jun, Sorokin, Christina, Alberti, Chris, Lin, Chu-Cheng, Evans, Colin, Dimitriev, Alek, Forbes, Hannah, Banarse, Dylan, Tung, Zora, Omernick, Mark, Bishop, Colton, Sterneck, Rachel, Jain, Rohan, Xia, Jiawei, Amid, Ehsan, Piccinno, Francesco, Wang, Xingyu, Banzal, Praseem, Mankowitz, Daniel J., Polozov, Alex, Krakovna, Victoria, Brown, Sasha, Bateni, MohammadHossein, Duan, Dennis, Firoiu, Vlad, Thotakuri, Meghana, Natan, Tom, Geist, Matthieu, Girgin, Ser tan, Li, Hui, Ye, Jiayu, Roval, Ofir, Tojo, Reiko, Kwong, Michael, Lee-Thorp, James, Yew, Christopher, Sinopalnikov, Danila, Ramos, Sabela, Mellor, John, Sharma, Abhishek, Wu, Kathy, Miller, David, Sonnerat, Nicolas, Vnukov, Denis, Greig, Rory, Beattie, Jennifer, Caveness, Emily, Bai, Libin, Eisenschlos, Julian, Korchemniy, Alex, Tsai, Tomy, Jasarevic, Mimi, Kong, Weize, Dao, Phuong, Zheng, Zeyu, Liu, Frederick, Zhu, Rui, Teh, Tian Huey, Sanmiya, Jason, Gladchenko, Evgeny, Trdin, Nejc, Toyama, Daniel, Rosen, Evan, Tavakkol, Sasan, Xue, Linting, Elkind, Chen, Woodman, Oliver, Carpenter, John, Papamakarios, George, Kemp, Rupert, Kafle, Sushant, Grunina, Tanya, Sinha, Rishika, Talbert, Alice, Wu, Diane, Owusu-Afriyie, Denese, Thornton, Chloe, Pont-Tuset, Jordi, Narayana, Pradyumna, Li, Jing, Fatehi, Saaber, Wieting, John, Ajmeri, Omar, Uria, Benigno, Ko, Yeongil, Knight, Laura, Héliou, Amélie, Niu, Ning, Gu, Shane, Pang, Chenxi, Li, Yeqing, Levine, Nir, Stolovich, Ariel, Santamaria-Fernandez, Rebeca, Goenka, Sonam, Yustalim, Wenny, Strudel, Robin, Elqursh, Ali, Deck, Charlie, Lee, Hyo, Li, Zonglin, Levin, Kyle, Hoffmann, Raphael, Holtmann-Rice, Dan, Bachem, Olivier, Arora, Sho, Koh, Christy, Yeganeh, Soheil Hassas, Põder, Siim, Tariq, Mukarram, Sun, Yanhua, Ionita, Lucian, Seyedhosseini, Mojtaba, Tafti, Pouya, Liu, Zhiyu, Gulati, Anmol, Liu, Jasmine, Ye, Xinyu, Chrzaszcz, Bart, Wang, Lily, Sethi, Nikhil, Li, Tianrun, Brown, Ben, Singh, Shreya, Fan, Wei, Parisi, Aaron, Stanton, Joe, Koverkathu, Vinod, Choquette-Choo, Christopher A., Li, Yunjie, Lu, TJ, Shroff, Prakash, Varadarajan, Mani, Bahargam, Sanaz, Willoughby, Rob, Gaddy, David, Desjardins, Guillaume, Cornero, Marco, Robenek, Brona, Mittal, Bhavishya, Albrecht, Ben, Shenoy, Ashish, Moiseev, Fedor, Jacobsson, Henrik, Ghaffarkhah, Alireza, Rivière, Morgane, Walton, Alanna, Crepy, Clément, Parrish, Alicia, Zhou, Zongwei, Farabet, Clement, Radebaugh, Carey, Srinivasan, Praveen, van der Salm, Claudia, Fidjeland, Andreas, Scellato, Salvatore, Latorre-Chimoto, Eri, Klimczak-Plucińska, Hanna, Bridson, David, de Cesare, Dario, Hudson, Tom, Mendolicchio, Piermaria, Walker, Lexi, Morris, Alex, Mauger, Matthew, Guseynov, Alexey, Reid, Alison, Odoom, Seth, Loher, Lucia, Cotruta, Victor, Yenugula, Madhavi, Grewe, Dominik, Petrushkina, Anastasia, Duerig, Tom, Sanchez, Antonio, Yadlowsky, Steve, Shen, Amy, Globerson, Amir, Webb, Lynette, Dua, Sahil, Li, Dong, Bhupatiraju, Surya, Hurt, Dan, Qureshi, Haroon, Agarwal, Ananth, Shani, Tomer, Eyal, Matan, Khare, Anuj, Belle, Shreyas Rammohan, Wang, Lei, Tekur, Chetan, Kale, Mihir Sanjay, Wei, Jinliang, Sang, Ruoxin, Saeta, Brennan, Liechty, Tyler, Sun, Yi, Zhao, Yao, Lee, Stephan, Nayak, Pandu, Fritz, Doug, Vuyyuru, Manish Reddy, Aslanides, John, Vyas, Nidhi, Wicke, Martin, Ma, Xiao, Eltyshev, Evgenii, Martin, Nina, Cate, Hardie, Manyika, James, Amiri, Keyvan, Kim, Yelin, Xiong, Xi, Kang, Kai, Luisier, Florian, Tripuraneni, Nilesh, Madras, David, Guo, Mandy, Waters, Austin, Wang, Oliver, Ainslie, Joshua, Baldridge, Jason, Zhang, Han, Pruthi, Garima, Bauer, Jakob, Yang, Feng, Mansour, Riham, Gelman, Jason, Xu, Yang, Polovets, George, Liu, Ji, Cai, Honglong, Chen, Warren, Sheng, XiangHai, Xue, Emily, Ozair, Sherjil, Angermueller, Christof, Li, Xiaowei, Sinha, Anoop, Wang, Weiren, Wiesinger, Julia, Koukoumidis, Emmanouil, Tian, Yuan, Iyer, Anand, Gurumurthy, Madhu, Goldenson, Mark, Shah, Parashar, Blake, MK, Yu, Hongkun, Urbanowicz, Anthony, Palomaki, Jennimaria, Fernando, Chrisantha, Durden, Ken, Mehta, Harsh, Momchev, Nikola, Rahimtoroghi, Elahe, Georgaki, Maria, Raul, Amit, Ruder, Sebastian, Redshaw, Morgan, Lee, Jinhyuk, Zhou, Denny, Jalan, Komal, Li, Dinghua, Hechtman, Blake, Schuh, Parker, Nasr, Milad, Milan, Kieran, Mikulik, Vladimir, Franco, Juliana, Green, Tim, Nguyen, Nam, Kelley, Joe, Mahendru, Aroma, Hu, Andrea, Howland, Joshua, Vargas, Ben, Hui, Jeffrey, Bansal, Kshitij, Rao, Vikram, Ghiya, Rakesh, Wang, Emma, Ye, Ke, Sarr, Jean Michel, Preston, Melanie Moranski, Elish, Madeleine, Li, Steve, Kaku, Aakash, Gupta, Jigar, Pasupat, Ice, Juan, Da-Cheng, Someswar, Milan, M., Tejvi, Chen, Xinyun, Amini, Aida, Fabrikant, Alex, Chu, Eric, Dong, Xuanyi, Muthal, Amruta, Buthpitiya, Senaka, Jauhari, Sarthak, Khandelwal, Urvashi, Hitron, Ayal, Ren, Jie, Rinaldi, Larissa, Drath, Shahar, Dabush, Avigail, Jiang, Nan-Jiang, Godhia, Harshal, Sachs, Uli, Chen, Anthony, Fan, Yicheng, Taitelbaum, Hagai, Noga, Hila, Dai, Zhuyun, Wang, James, Hamer, Jenny, Ferng, Chun-Sung, Elkind, Chenel, Atias, Aviel, Lee, Paulina, Listík, Vít, Carlen, Mathias, van de Kerkhof, Jan, Pikus, Marcin, Zaher, Krunoslav, Müller, Paul, Zykova, Sasha, Stefanec, Richard, Gatsko, Vitaly, Hirnschall, Christoph, Sethi, Ashwin, Xu, Xingyu Federico, Ahuja, Chetan, Tsai, Beth, Stefanoiu, Anca, Feng, Bo, Dhandhania, Keshav, Katyal, Manish, Gupta, Akshay, Parulekar, Atharva, Pitta, Divya, Zhao, Jing, Bhatia, Vivaan, Bhavnani, Yashodha, Alhadlaq, Omar, Li, Xiaolin, Danenberg, Peter, Tu, Dennis, Pine, Alex, Filippova, Vera, Ghosh, Abhipso, Limonchik, Ben, Urala, Bhargava, Lanka, Chaitanya Krishna, Clive, Derik, Li, Edward, Wu, Hao, Hongtongsak, Kevin, Li, Ianna, Thakkar, Kalind, Omarov, Kuanysh, Majmundar, Kushal, Alverson, Michael, Kucharski, Michael, Patel, Mohak, Jain, Mudit, Zabelin, Maksim, Pelagatti, Paolo, Kohli, Rohan, Kumar, Saurabh, Kim, Joseph, Sankar, Swetha, Shah, Vineet, Ramachandruni, Lakshmi, Zeng, Xiangkai, Bariach, Ben, Weidinger, Laura, Vu, Tu, Andreev, Alek, He, Antoine, Hui, Kevin, Kashem, Sheleem, Subramanya, Amar, Hsiao, Sissie, Hassabis, Demis, Kavukcuoglu, Koray, Sadovsky, Adam, Le, Quoc, Strohman, Trevor, Wu, Yonghui, Petrov, Slav, Dean, Jeffrey, and Vinyals, Oriol
Subjects: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract: This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model advances the state of the art in 30 of 32 of these benchmarks - notably being the first model to achieve human-expert performance on the well-studied exam benchmark MMLU, and improving the state of the art in every one of the 20 multimodal benchmarks we examined. We believe that the new capabilities of the Gemini family in cross-modal reasoning and language understanding will enable a wide variety of use cases. We discuss our approach toward post-training and deploying Gemini models responsibly to users through services including Gemini, Gemini Advanced, Google AI Studio, and Cloud Vertex AI.
Published: 2023

4. Selectively Answering Ambiguous Questions

Author: Cole, Jeremy R., Zhang, Michael J. Q., Gillick, Daniel, Eisenschlos, Julian Martin, Dhingra, Bhuwan, and Eisenstein, Jacob
Subjects: Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract: Trustworthy language models should abstain from answering questions when they do not know the answer. However, the answer to a question can be unknown for a variety of reasons. Prior research has focused on the case in which the question is clear and the answer is unambiguous but possibly unknown, but the answer to a question can also be unclear due to uncertainty of the questioner's intent or context. We investigate question answering from this perspective, focusing on answering a subset of questions with a high degree of accuracy, from a set of questions in which many are inherently ambiguous. In this setting, we find that the most reliable approach to decide when to abstain involves quantifying repetition within sampled model outputs, rather than the model's likelihood or self-verification as used in prior work. We find this to be the case across different types of uncertainty and model scales,and with or without instruction tuning. Our results suggest that sampling-based confidence scores help calibrate answers to relatively unambiguous questions, with more dramatic improvements on ambiguous questions., Comment: To appear in EMNLP 2023. 9 pages, 5 figures, 2 pages of appendix
Published: 2023

5. NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders

Author: Soares, Livio Baldini, Gillick, Daniel, Cole, Jeremy R., and Kwiatkowski, Tom
Subjects: Computer Science - Computation and Language, Computer Science - Information Retrieval
Abstract: Neural document rerankers are extremely effective in terms of accuracy. However, the best models require dedicated hardware for serving, which is costly and often not feasible. To avoid this serving-time requirement, we present a method of capturing up to 86% of the gains of a Transformer cross-attention model with a lexicalized scoring function that only requires 10-6% of the Transformer's FLOPs per document and can be served using commodity CPUs. When combined with a BM25 retriever, this approach matches the quality of a state-of-the art dual encoder retriever, that still requires an accelerator for query encoding. We introduce NAIL (Non-Autoregressive Indexing with Language models) as a model architecture that is compatible with recent encoder-decoder and decoder-only large language models, such as T5, GPT-3 and PaLM. This model architecture can leverage existing pre-trained checkpoints and can be fine-tuned for efficiently constructing document representations that do not require neural processing of queries., Comment: To appear at EMNLP 2023
Published: 2023

6. Salient Span Masking for Temporal Understanding

Author: Cole, Jeremy R., Chaudhary, Aditi, Dhingra, Bhuwan, and Talukdar, Partha
Subjects: Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract: Salient Span Masking (SSM) has shown itself to be an effective strategy to improve closed-book question answering performance. SSM extends general masked language model pretraining by creating additional unsupervised training sentences that mask a single entity or date span, thus oversampling factual information. Despite the success of this paradigm, the span types and sampling strategies are relatively arbitrary and not widely studied for other tasks. Thus, we investigate SSM from the perspective of temporal tasks, where learning a good representation of various temporal expressions is important. To that end, we introduce Temporal Span Masking (TSM) intermediate training. First, we find that SSM alone improves the downstream performance on three temporal tasks by an avg. +5.8 points. Further, we are able to achieve additional improvements (avg. +0.29 points) by adding the TSM task. These comprise the new best reported results on the targeted tasks. Our analysis suggests that the effectiveness of SSM stems from the sentences chosen in the training data rather than the mask choice: sentences with entities frequently also contain temporal expressions. Nonetheless, the additional targeted spans of TSM can still improve performance, especially in a zero-shot context., Comment: 5 pages 1 figure, to appear in EACL 2023
Published: 2023

7. DIFFQG: Generating Questions to Summarize Factual Changes

Author: Cole, Jeremy R., Jain, Palak, Eisenschlos, Julian Martin, Zhang, Michael J. Q., Choi, Eunsol, and Dhingra, Bhuwan
Subjects: Computer Science - Computation and Language
Abstract: Identifying the difference between two versions of the same article is useful to update knowledge bases and to understand how articles evolve. Paired texts occur naturally in diverse situations: reporters write similar news stories and maintainers of authoritative websites must keep their information up to date. We propose representing factual changes between paired documents as question-answer pairs, where the answer to the same question differs between two versions. We find that question-answer pairs can flexibly and concisely capture the updated contents. Provided with paired documents, annotators identify questions that are answered by one passage but answered differently or cannot be answered by the other. We release DIFFQG which consists of 759 QA pairs and 1153 examples of paired passages with no factual change. These questions are intended to be both unambiguous and information-seeking and involve complex edits, pushing beyond the capabilities of current question generation and factual change detection systems. Our dataset summarizes the changes between two versions of the document as questions and answers, studying automatic update summarization in a novel way., Comment: 14 pages. Accepted at EACL 2023 (main, long)
Published: 2023

8. Effect of Tezepelumab on the Humoral Immune Response to Seasonal Quadrivalent Influenza Vaccination in Patients with Moderate to Severe Asthma: The Phase 3b VECTOR Study

Author: Cole, Jeremy, Cąpała-Szczurko, Iwona, Roseti, Stephanie, Chen, Claudia, Caveney, Scott, Aksyuk, Anastasia A., Streicher, Katie, Ponnarambil, Sandhia, and Colice, Gene
Published: 2024
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9. Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour

Author: Liu, Fangyu, Eisenschlos, Julian Martin, Cole, Jeremy R., and Collier, Nigel
Subjects: Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract: Language models (LMs) trained on raw texts have no direct access to the physical world. Gordon and Van Durme (2013) point out that LMs can thus suffer from reporting bias: texts rarely report on common facts, instead focusing on the unusual aspects of a situation. If LMs are only trained on text corpora and naively memorise local co-occurrence statistics, they thus naturally would learn a biased view of the physical world. While prior studies have repeatedly verified that LMs of smaller scales (e.g., RoBERTa, GPT-2) amplify reporting bias, it remains unknown whether such trends continue when models are scaled up. We investigate reporting bias from the perspective of colour in larger language models (LLMs) such as PaLM and GPT-3. Specifically, we query LLMs for the typical colour of objects, which is one simple type of perceptually grounded physical common sense. Surprisingly, we find that LLMs significantly outperform smaller LMs in determining an object's typical colour and more closely track human judgments, instead of overfitting to surface patterns stored in texts. This suggests that very large models of language alone are able to overcome certain types of reporting bias that are characterized by local co-occurrences., Comment: AACL 2022
Published: 2022

10. WinoDict: Probing language models for in-context word acquisition

Author: Eisenschlos, Julian Martin, Cole, Jeremy R., Liu, Fangyu, and Cohen, William W.
Subjects: Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract: We introduce a new in-context learning paradigm to measure Large Language Models' (LLMs) ability to learn novel words during inference. In particular, we rewrite Winograd-style co-reference resolution problems by replacing the key concept word with a synthetic but plausible word that the model must understand to complete the task. Solving this task requires the model to make use of the dictionary definition of the new word given in the prompt. This benchmark addresses word acquisition, one important aspect of the diachronic degradation known to afflict LLMs. As LLMs are frozen in time at the moment they are trained, they are normally unable to reflect the way language changes over time. We show that the accuracy of LLMs compared to the original Winograd tasks decreases radically in our benchmark, thus identifying a limitation of current models and providing a benchmark to measure future improvements in LLMs ability to do in-context learning.
Published: 2022

11. Efficacy and safety of tezepelumab versus placebo in adults with moderate to very severe chronic obstructive pulmonary disease (COURSE): a randomised, placebo-controlled, phase 2a trial

Author: Belle-Isle, Jasmin, Nadeau, Jerome, Killorn, William, Francoeur, Bruno, Millaire, Emilie, Pek, Bonavuth, Ferguson, Murdo, Maltais, Francois, Killian, Kieran, Mazza, Giuseppe, Melenka, Lyle, Walker, Brandie, Bergeron, Celine, FitzGerald, John, Weinreich, Ulla Møller, Bendstrup, Elisabeth, Porsbjerg, Celeste, Ulrik, Charlotte, Titlestad, Ingrid, Meyer, Christian, Hilberg, Ole, Couturaud, Francis, Andrejak, Claire, Bourdin, Arnaud, Devouassoux, Gilles, Pepin, Jean-Louis, Chanez, Pascal, Cavailles, Arnaud, Eich, Andreas, Ludwig-Sengpiel, Andrea, Watz, Henrik, Schultz, Thomas, Bar-Shai, Amir, Wand, Ori, Adir, Yochai, Berkman, Neville, Fink, Gershon, Shitrit, David, Izbicki, Gabriel, Raviv, Yael, Wielders, Pascal, Goosens, Martijn, Heller-Baan, Roxane, in't Veen, Johannes, Custers, Frank, Oh, Yeon-Mok, Lee, YongChul, Kim, Jaeyeol, Yoo, Kwang-Ha, Park, Jung-Won, Lee, Sang Haak, Ahn, Joong Hyun, Lee, Sook Young, Kim, Jin Woo, Lee, Kwan Ho, Caballero, Luis Mateos, Naval Sendra, Elsa, Ramos Barbón, David, Velasco Garrido, José Luis, Alcázar Navarrete, Bernardino, Saralaya, Dinesh, Crooks, Michael, Shah, Pallav, Chaudhuri, Rekha, de Soyza, Anthony, Nordstrom, Monica, Dwarakanath, Akshay, Weinstein, Steven, Pham, David, Mitchell, John, Spangenthal, Selwyn, Surdulescu, Sever, Denenberg, Michael, Alpizar, Sady, Maybee, David, Moriarty, Timothy, Fakih, Faisal, Beasley, Richard, Heuer, Marvin, Patel, Amit, Dorf, Jeffrey, Martinez, Rafael, Kureishy, Shahrukh, Klein, Ryan, Hewitt, Mitzie, Cole, Jeremy, Robinette, Emory, Cordasco, Edward, Garver, Robert, Criner, Gerard, Sciurba, Frank, Kerwin, Edward, Lucksinger, Gregg, Delgado, John, Russian, David, Chupp, Geoffrey, Singh, Dave, Brightling, Christopher E, Rabe, Klaus F, Han, MeiLan K, Christenson, Stephanie A, Drummond, M Bradley, Papi, Alberto, Pavord, Ian D, Molfino, Nestor A, Almqvist, Gun, Kotalik, Ales, Hellqvist, Åsa, Gołąbek, Monika, Sindhwani, Navreet S, and Ponnarambil, Sandhia S
Published: 2025
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12. Invoking warmth

Author: Cole, Jeremy and Hamel, Thomas
Published: 2016

13. Graph-Based Decoding for Task Oriented Semantic Parsing

Author: Cole, Jeremy R., Jiang, Nanjiang, Pasupat, Panupong, He, Luheng, and Shaw, Peter
Subjects: Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract: The dominant paradigm for semantic parsing in recent years is to formulate parsing as a sequence-to-sequence task, generating predictions with auto-regressive sequence decoders. In this work, we explore an alternative paradigm. We formulate semantic parsing as a dependency parsing task, applying graph-based decoding techniques developed for syntactic parsing. We compare various decoding techniques given the same pre-trained Transformer encoder on the TOP dataset, including settings where training data is limited or contains only partially-annotated examples. We find that our graph-based approach is competitive with sequence decoders on the standard setting, and offers significant improvements in data efficiency and settings where partially-annotated data is available., Comment: To appear in EMNLP 5 pages 4 figures
Published: 2021

14. Time-Aware Language Models as Temporal Knowledge Bases

Author: Dhingra, Bhuwan, Cole, Jeremy R., Eisenschlos, Julian Martin, Gillick, Daniel, Eisenstein, Jacob, and Cohen, William W.
Subjects: Computer Science - Computation and Language
Abstract: Many facts come with an expiration date, from the name of the President to the basketball team Lebron James plays for. But language models (LMs) are trained on snapshots of data collected at a specific moment in time, and this can limit their utility, especially in the closed-book setting where the pretraining corpus must contain the facts the model should memorize. We introduce a diagnostic dataset aimed at probing LMs for factual knowledge that changes over time and highlight problems with LMs at either end of the spectrum -- those trained on specific slices of temporal data, as well as those trained on a wide range of temporal data. To mitigate these problems, we propose a simple technique for jointly modeling text with its timestamp. This improves memorization of seen facts from the training time period, as well as calibration on predictions about unseen facts from future time periods. We also show that models trained with temporal context can be efficiently "refreshed" as new data arrives, without the need for retraining from scratch., Comment: Version accepted to TACL
Published: 2021
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15. Dupilumab efficacy in high sleep disturbance management among patients with type 2 asthma

Author: Maspero, Jorge F., Shafazand, Shirin, Cole, Jeremy, Pavord, Ian D., Busse, William W., Msihid, Jérôme, Gall, Rebecca, Soler, Xavier, Radwan, Amr, Khan, Asif H., de Prado Gómez, Lucia, and Jacob-Nara, Juby A.
Published: 2023
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16. Tirzepatide once weekly for the treatment of obesity in people with type 2 diabetes (SURMOUNT-2): a double-blind, randomised, multicentre, placebo-controlled, phase 3 trial

Author: Abalos, Franklin H., Manghi, Federico C.P., Zaidman, Cesar J., Vico, Marisa L., Aizenberg, Diego, Costanzo, Pablo R., Serra, Leonardo P., MacKinnon, Ignacio J., Hissa, Miguel N., Vidotti, Maria H., Kerr Saraiva, Jose F., Alves, Breno B., Franco, Denise R., Moratto, Otavio, Murthy, Sreenivasa, Goyal, Ghanshyam, Yamasaki, Yoshimitsu, Sato, Nobuyuki, Inoue, Satoshi, Asakura, Taro, Shestakova, Marina, Khaykina, Elena, Troshina, Ekaterina, Vorokhobina, Natalia, Ametov, Alexander, Tu, Shih-Te, Yang, Chwen-Yi, Lee, I-Te, Huang, Chien-Ning, Ou, Horng-Yih, Freeman, George, Machineni, Sriram, Klein, Klara, Sultan, Senan, Parsa, Alan, Otero-Martinez, Juan, Gonzalez, Alex, Bhargava, Anuj, Brian, Susan, Ince, Carlos, Plantholt, Stephen, Cole, Jeremy, Lacour, Audrey, Vega, Damaris, de Souza, Jose, Rohlf, Jane L., St. John, Roy C., Horowitz, Barry, Audish, Hanid, Galindo, Rodolfo, Umpiperrez, Guillermo, Ard, Jamy, Curtis, Brian, Garvey, William T., Fraser, Neil J., Mandry, Jose, Mohseni, Rizwana, Mayfield, Ronald, Powell, Talessa, Vance, Carl, Ong, Stephen, Lewy-Alterbaum, Ana L., Murray, Alexander, Al-Karadsheh, Amer, Yacoub, Tamer, Roberts, Kevin, Fried, David L., Rosenstock, Julio, Pulla, Bharathi, Bode, Bruce, Frias, Juan, Klaff, Leslie, Brazg, Ronald, Van, Joanna, Tan, Anjanette, Briskin, Toby, Rhee, Margaret, Chaicha-Brom, Tira, Hartley, Paul A., Nunez, Lazaro, Cortes-Maisonet, Gregorio, Soucie, Gary, Hsia, Stanley, Jones, Thomas, Garvey, W Timothy, Frias, Juan P, Jastreboff, Ania M, le Roux, Carel W, Sattar, Naveed, Mao, Huzhang, Zhang, Shuyu, Ahmad, Nadia N, Bunck, Mathijs C, Benabbad, Imane, and Zhang, Xiaotian M
Published: 2023
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17. Severe Asthma Standard-of-Care Background Medication Reduction With Benralizumab: ANDHI in Practice Substudy

Author: Pohl, Wolfgang, Doberer, Daniel, Martinot, Jean Benoit, Deschampheleire, Maud, Himpe, Ulrike, Chapman, Kenneth, Cheema, Amarjit, Dorscheid, Delbert, Ramsey, Clare, Rolf, Jeffrey, Walker, Brandie, Olivenstein, Ronald, Poirier, Claude, Larivee, Pierre, Bjerrum, Anne Sofie, Titlestad, Ingrid, Hilberg, Ole, Kilpeläinen, Maritta, Bonniaud, Philippe, Taillé, Camille, Tiotiu, Iuliana-Angelica, Girodet, Pierre-Olivier, Blanc, François-Xavier, Pradelli, Johana, Didier, Alain, Nocent Ejnaini, Cecilia, Deslee, Gaetan, Pison, Christophe, Douadi, Youcef, Mahay, Guillaume, Devouassoux, Gilles, Melloni, Boris, Roux, Pauline-Marie, Bourdin, Arnaud, Fry, Stephanie, Schaum, Thomas, Schulz, Christian, Skowasch, Dirk, Taube, Christian, Welte, Tobias, Gleiber, Wolfgang, Brehler, Randolf, Schreiber, Jens, Schuette, Wolfgang, Kronsbein, Juliane, Bonnet, Reiner, Beck, Ekkehard, Lacedonia, Donato, Senna, Gianenrico, Caruso, Cristiano, Crimi, Nunzio, Blasi, Francesco, Santus, Pierachille, Canonica, Giorgio Walter, Guarnieri, Gabriella, Pelaia, Girolamo, Milanese, Manlio, Micheletto, Claudio, Corsico, Angelo Guido, Scichilone, Nicola, Spadaro, Giuseppe, Langeveld, Bas, Holters, Jurgen, Willem van den Berg, Jan, Smit, Arthur, Conemans, Lennart, van Veen, Helena, Staaks, Gerald, Lehmann, Sverre, Echave-Sustaeta, Jose Maria, Ribas, Christian Domingo, de Luiz Martinez, Gustavo, Gonzalez Perez, Ruperto, Garcia Rivero, Juan Luis, Gall, Xavier Muñoz, Soto Campos, Jose Gregorio, Mozo, Paloma Campo, Pan, Carmen Vidal, Fernandez, Ana Gomez-Bastero, Tellez, Sergio Campos, Rivera, Carlos Martinez, Bobolea, Irina Diana, Guerrero, Raquel Morillo, Garcia, Ismael Ali, Rodriguez Hermosa, Juan Luis, Stenfors, Nikolai, Tunsäter, Alf, Curiac, Dan, von Garnier, Christophe, Leuppi, Joerg, Schmid-Grendelmeier, Peter, Nasser, Shuaib, Chaudhuri, Rekha, Nordstrom, Monica, Saralaya, Dinesh, Pfeffer, Paul, Mansur, Adel, Short, Philip, Wenzel, Sally, Cherry, William Brett, Zafra, Heidi, Gonzalez, Erika, Soong, Weily, Davis, Benjamin, Kao, Neil, Hussain, Iftikhar, Maselli Caceres, Diego Jose, Harris, James, Calhoun, William, Rodicio, Ileana, Kaufman, David, Moss, Mark, Sztejman, Eric, DeLeon, Samuel, Sumino, Kaharu, Kashyap, Ravindra, Leflein, Jeffrey, Hajal, Rizan, Fakih, Faisal, Hill, David, Lin, Robert, Jarratt, Mikell, Subramaniam, Vijay, Sussman, Robert, Mumneh, Nayla, Reibman, Joan, Darveaux, Jared, Tan, Ricardo, Tanus, Tonny, Sikand, Vinay, Marshall, Gailen, Mehta, Hemalini, Cole, Jeremy, Goodman, Brad, Goss, Deborah, Bardelas, Jose, Milstone, Aaron, Mehta, Vinay, Clore, Lee, Millard, Mark, Palumbo, Michael, Puppala, Dileep, Leong, Mila, Prenner, Bruce, Robinette, Emory, Heidarian Raissy, Hengameh, Fost, David, Pleskow, Warren, Marcus, Michael, Ilowite, Jonathan, Moore, Wendy, Steven, Gary, De la Cruz, Luis, Chupp, Geoffrey, Berger, William, Randolph, Christopher, Holguin, Fernando, Kureishy, Shahrukh, Campbell, Edward, Peche, Rudi, Pini, Laura, Papi, Alberto, Beghé, Bianca, Peveri, Silvia, Henriquez Santa, Aythamy, Ramos Gonzalez, Jacinto, Vinge, Ines, St. John, Roy, Louis, Renaud, Harrison, Tim W., Chanez, Pascal, Menzella, Francesco, Philteos, George, Cosio, Borja G., Lugogo, Njira L., de Luiz, Gustavo, Burden, Annie, Adlington, Timothy, Keeling, Nanna, Kwiatek, Justin, and Garcia Gil, Esther
Published: 2023
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18. Long-term safety and efficacy of tezepelumab in people with severe, uncontrolled asthma (DESTINATION): a randomised, placebo-controlled extension study

Author: Hetzel, Jorge Lima, Fiterman, Jussara, Souza Machado, Adelmir, Antila, Martti Anton, Lima, Marina Andrade, Minamoto, Suzana Erico Tanni, Blanco, Daniela Cavalet, Bezerra, Patricia Gomes de Matos, Houle, Pierre-Alain, Lemiere, Catherine, Melenka, Lyle S, Leigh, Richard, Mitchell, Patrick, Anees, Syed, Pek, Bonavuth, Chouinard, Guy, Cheema, Amarjit S, Yang, William Ho-Ching, Philteos, George, Chanez, Pascal, Bourdin, Arnaud, Devouassoux, Gilles, Taille, Camille, De Blay, Frédéric, Leroyer, Christophe, Beurnier, Antoine, Garcia, Gilles, Girodet, Pierre-Olivier, Blanc, François-Xavier, Magnan, Antoine, Wanin, Stéphanie, Just, Jocelyne, Linde, Richard, Zielen, Stefan, Förster, Karin, Geßner, Christian, Jandl, Margret, Buhl, Roland Otto, Korn, Stephanie, Kornmann, Marc Oliver, Linnhoff, Anneliese, Ludwig-Sengpiel, Andrea, Ehlers, Martin, Schmoller, Tibor, Steffen, Heiner, Hoffmann, Martin, Kirschner, Joachim, Schmidt, Olaf, Welte, Tobias, Temme, Hilke, Wand, Ori, Bar-Shai, Amir, Izbicki, Gabriel, Berkman, Neville, Fink, Gershon, Shitrit, David, Adir, Yochai, Kuna, Piotr, Rewerska, Barbara, Pisarczyk-Bogacka, Ewa, Kurbacheva, Oksana, Mikhailov, Sergey L, Vasilev, Maksim, Emelyanov, Alexander, Wali, Siraj, Albanna, Amr, van Zyl-Smit, Richard, Abdullah, Ismail, Bernhardi, David, Hoosen, Farzana, Irusen, Elvis, Kalla, Ismail, Lakha, Deepak, Mitha, Essack, Naidoo, Visvakuren, Nell, Haylene, Padayachee, Trevenesan, Reddy, Jeevren, Petrick, Friedrich, van der Walt, Eugene, Vawda, Zubar Fazal Ahmed, Park, Hae-Sim, Lee, Sang Haak, Kim, Mi-Kyeong, Park, Jung-Won, Cho, You Sook, Lee, Byung Jae, Chang, Yoon-Seok, Park, Choon-Sik, Lee, Kwan Ho, Lee, Sook Young, Yoon, HyoungKyu, Sohn, Kyoung Hee, Park, Myung Jae, Min, Kyung Hoon, Cho, Young Joo, Park, Han Ki, Lee, YongChul, Lee, Jaechun, Sheu, Chau-Chyun, Tu, Chih-Yen, Lee, Kang-Yun, Bavbek, Sevim, Gemicioglu, Bilun, Ediger, Dane, Kalkan, Ilkay Koca, Makieieva, Nataliia, Ostrovskyy, Mykola, Dytyatkovs'ka, Yevgeniya, Mostovoy, Yuriy Mykhaylovych, Lebed, Kyrylo, Yakovenko, Oleh, Adams, Atoya, Mooring, Timothy, Torres Jr, Louis, Sexton, Marvin, Thompson, Ernest, Bernstein, Jonathan A, Lisi, Paul, Chappel, Christopher M, Cole, Jeremy, Greenwald, Gary I, Jones, Conigliaro, Klein, Ryan Mitchell, Pham, David N, Spangenthal, Selwyn, Weinstein, Steven F, Windom, Hugh H, Kao, Neil L, Leong, Mila A, Mehta, Vinay, Moore, Wendy C, Bhat, Saligrama, Aish, Bassil, Meltzer, Steven M, Corren, Jonathan, Moss, Mark H, Kerwin, Edward M, Delgado, John Palsted, Lucksinger, Gregg Hudson, Thompson, Charles A, Chupp, Geoffrey, Alpizar, Sady A, Vadgama, Sanjay Virgi, Zafar, Zahid, Jacobs, Joshua S, Lugogo, NJira, Jain, Neal, Sher, Lawrence D, Andrawis, Nabil S, Fuentes, David, Boren, Eric Jason, Gonzalez, Erika G, Talreja, Neetu, Durrani, Sheharyar Sandy, Israel, Elliot, Sekhsaria, Sudhir, DeLeon, Samuel, Shukla, Mayank, Totszollosy Tarpay, Martha M, Fakih, Faisal, Hudes, Golda, Tillinghast, Jeffrey P, Korenblat, Phillip E, Shenoy, Kartik, Que, Loretta, Kureishy, Shahrukh Ahmad, Umeh, Fred Chukwuemeka, Nguyen, Vinh Nhu, Chu, Hanh Thi, Nguyen, Thuy Thi Dieu, Menzies-Gow, Andrew, Wechsler, Michael E, Brightling, Christopher E, Bednarczyk, Artur, Ponnarambil, Sandhia, Caveney, Scott, Almqvist, Gun, Gołąbek, Monika, Simonsson, Linda, Lawson, Kaitlyn, Bowen, Karin, and Colice, Gene
Published: 2023
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19. Vision-based Obstacle Removal System for Autonomous Ground Vehicles Using a Robotic Arm

Author: Asadi, Khashayar, Jain, Rahul, Qin, Ziqian, Sun, Mingda, Noghabaei, Mojtaba, Cole, Jeremy, Han, Kevin, and Lobaton, Edgar
Subjects: Computer Science - Robotics
Abstract: Over the past few years, the use of camera-equipped robotic platforms for data collection and visually monitoring applications has exponentially grown. Cluttered construction sites with many objects (e.g., bricks, pipes, etc.) on the ground are challenging environments for a mobile unmanned ground vehicle (UGV) to navigate. To address this issue, this study presents a mobile UGV equipped with a stereo camera and a robotic arm that can remove obstacles along the UGV's path. To achieve this objective, the surrounding environment is captured by the stereo camera and obstacles are detected. The obstacle's relative location to the UGV is sent to the robotic arm module through Robot Operating System (ROS). Then, the robotic arm picks up and removes the obstacle. The proposed method will greatly enhance the degree of automation and the frequency of data collection for construction monitoring. The proposed system is validated through two case studies. The results successfully demonstrate the detection and removal of obstacles, serving as one of the enabling factors for developing an autonomous UGV with various construction operating applications., Comment: The 2019 ASCE International Conference on Computing in Civil Engineering
Published: 2019

20. Efficacy and safety of tezepelumab versus placebo in adults with moderate to very severe chronic obstructive pulmonary disease (COURSE): a randomised, placebo-controlled, phase 2a trial

Author: Singh, Dave, Brightling, Christopher E, Rabe, Klaus F, Han, MeiLan K, Christenson, Stephanie A, Drummond, M Bradley, Papi, Alberto, Pavord, Ian D, Molfino, Nestor A, Almqvist, Gun, Kotalik, Ales, Hellqvist, Åsa, Gołąbek, Monika, Sindhwani, Navreet S, Ponnarambil, Sandhia S, Belle-Isle, Jasmin, Nadeau, Jerome, Killorn, William, Francoeur, Bruno, Millaire, Emilie, Pek, Bonavuth, Ferguson, Murdo, Maltais, Francois, Killian, Kieran, Mazza, Giuseppe, Melenka, Lyle, Walker, Brandie, Bergeron, Celine, FitzGerald, John, Weinreich, Ulla Møller, Bendstrup, Elisabeth, Porsbjerg, Celeste, Ulrik, Charlotte, Titlestad, Ingrid, Meyer, Christian, Hilberg, Ole, Couturaud, Francis, Andrejak, Claire, Bourdin, Arnaud, Devouassoux, Gilles, Pepin, Jean-Louis, Chanez, Pascal, Cavailles, Arnaud, Eich, Andreas, Ludwig-Sengpiel, Andrea, Watz, Henrik, Schultz, Thomas, Bar-Shai, Amir, Wand, Ori, Adir, Yochai, Berkman, Neville, Fink, Gershon, Shitrit, David, Izbicki, Gabriel, Raviv, Yael, Wielders, Pascal, Goosens, Martijn, Heller-Baan, Roxane, in't Veen, Johannes, Custers, Frank, Oh, Yeon-Mok, Lee, YongChul, Kim, Jaeyeol, Yoo, Kwang-Ha, Park, Jung-Won, Lee, Sang Haak, Ahn, Joong Hyun, Lee, Sook Young, Kim, Jin Woo, Lee, Kwan Ho, Caballero, Luis Mateos, Naval Sendra, Elsa, Ramos Barbón, David, Velasco Garrido, José Luis, Alcázar Navarrete, Bernardino, Saralaya, Dinesh, Crooks, Michael, Shah, Pallav, Chaudhuri, Rekha, de Soyza, Anthony, Nordstrom, Monica, Dwarakanath, Akshay, Weinstein, Steven, Pham, David, Mitchell, John, Spangenthal, Selwyn, Surdulescu, Sever, Denenberg, Michael, Alpizar, Sady, Maybee, David, Moriarty, Timothy, Fakih, Faisal, Beasley, Richard, Heuer, Marvin, Patel, Amit, Dorf, Jeffrey, Martinez, Rafael, Kureishy, Shahrukh, Klein, Ryan, Hewitt, Mitzie, Cole, Jeremy, Robinette, Emory, Cordasco, Edward, Garver, Robert, Criner, Gerard, Sciurba, Frank, Kerwin, Edward, Lucksinger, Gregg, Delgado, John, Russian, David, and Chupp, Geoffrey
Abstract: Tezepelumab is a human monoclonal antibody that blocks thymic stromal lymphopoietin, which has shown increased expression in patients with chronic obstructive pulmonary disease (COPD) compared with healthy individuals. We aimed to assess the efficacy and safety of tezepelumab in patients with moderate to very severe COPD despite receiving triple inhaled therapy.
Published: 2025
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21. Onset of effect and impact on health-related quality of life, exacerbation rate, lung function, and nasal polyposis symptoms for patients with severe eosinophilic asthma treated with benralizumab (ANDHI): a randomised, controlled, phase 3b trial

Author: Pohl, Wolfgang, Voves, Robert, Deschampheleire, Maud, Louis, Renaud, Martinot, Jean-Benoit, Peché, Rudi, Chapman, Kenneth, Cheema, Amarjit, Dorscheid, Delbert, FitzGerald, J. Mark, Gagnon, Remi, Killorn, William Patrick, Olivenstein, Ronald, Philteos, George, Ramsey, Clare, Rolf, J. Douglass, Walker, Brandie, Hilberg, Ole, Skjold, Tina, Titlestad, Ingrid, Hakulinen, Auli, Kilpeläinen, Maritta, Ben Hayoun, Michèle, Bonniaud, Philippe, Bourdin, Arnaud, Chanez, Pascal, De Blay, Frédéric, Deslee, Gaëtan, Devouassoux, Gilles, Didier, Alain, Douadi, Youcef, Fry, Stéphanie, Garcia, Gilles, Girodet, Pierre-Olivier, Leroyer, Christophe, Magnan, Antoine, Mahay, Guillaume, Nocent, Cécilia, Pison, Christophe, Roux, Pauline-Marie, Taillé, Camille, Tiotiu, Juliana-Angelica, Beck, Ekkehard, Jandl, Margret, Kaehler, Christian, Kässner, Frank, Koesters, Frank, Kronsbein, Juliane, Schaum, Thomas, Schulz, Christian, Skowasch, Dirk, Taube, Christian, Welte, Tobias, de Roux, Andrés, Beghé, Bianca, Blasi, Francesco, Canonica, Giorgio Walter, Carpagnano, Giovanna, Caruso, Cristiano, Corsico, Angelo Guido, Constantino, Elio, Crimi, Nunzio, Maestrelli, Piero, Menzella, Francesco, Milanese, Manlio, Papi, Alberto, Pelaia, Girolamo, Pini, Laura, Santus, Pierachille, Savi, Eleonora, Scichilone, Nicola, Senna, Gianenrico, Spadaro, Giuseppe, Vaghi, Adriano, Gans, Steven, Hölters, Jurgen, Langeveld, B., Pieters, Willem, Staaks, G.H.A., van Veen, Ilonka, van den Berg, J.W.K., Einvik, Gunnar, Lehmann, Sverre, Ali García, Ismael, Almonacid, Carlos, Bobolea, Irina, Campo Mozo, Paloma, de Luiz, Gustavo, Domingo Ribas, Christian, Echave-Sustaeta María-Tomé, José María, García Rivero, Juan Luis, García-Cosío Piqueras, Borja, Gómez-Bastero Fernández, Ana, González Pérez, Ruperto, Henríquez Santa, Aythamy, Martínez Rivera, Carlos, Muñoz Gall, Xavier, Ramos, Jacinto, Gregorio Soto Campos, Jose, Vidal Pan, Carmen, Stenfors, Nikolai, Tunsäter, Alf, Vinge, Ines, Chaudhuri, Rekha, Harrison, Timothy, Mansur, Adel, Nasser, Shuaib, Nordstrom, Monica, Pfeffer, Paul, Saralaya, Dinesh, Short, Philip, Adlakha, Arun, Alpan, Oral, Averill, Francis, Badhwar, Anil, Bardelas, Jose, Baxter, Barbara, Bensch, George, Berger, William, Bernstein, Jonathan, Bridges, Tracy, Brimeyer, Ryan, Calhoun, William, Campbell, Edward, Cherry, William Brett, Chupp, Geoffrey, Clore, Lee, Cohn, John, Cole, Jeremy, Condemi, John, Cury, James, Davis, Benjamin, DeLeon, Samuel, Delacruz, Luis, Diaz, Joseph, Erb, David, Eziri, Emeka, Fakih, Faisal, Fiedler, Douglas, Fost, David, Fritz, Stephen, Gonzalez, Erika, Goodman, Brad, Gottlieb, Peter, Gottschlich, Gregory, Gower, Richard, Hajal, Rizan, Harris, James, Heidarian-Raissy, Hengameh, Heyder, Albrecht, Hill, David, Holguin, Fernando, Hussain, Iftikhar, Illowite, Jonathan, Jacobs, Joshua, Jarratt, Mikell, Kaiser, Harold, Kao, Neil, Kashyap, Ravindra, Kaufman, David, Kent, Edward, Kim, Kenneth, Klein, Ryan, Kraft, Monica, Kono, Ritsu, Kureishy, Shahrukh, Leflein, Jeffrey, Leong, Mila, Li, Huamin, Lin, Robert, Lugogo, Njira, Marcus, Michael, Maselli Caceres, Diego Jose, Mehta, Vinay, Mello, Curtis, Millard, Mark, Milstone, Aaron, Mohan, Arjun, Moore, Wendy, Moss, Mark, Mumneh, Nayla, O'Brien, Thomas, Ostransky, David, Palumbo, Michael, Parikh, Purvi, Parikh, Sudhir, Patel, Amit, Perez, Guido, Pleskow, Warren, Prenner, Bruce, Puppala, Dileep, Ramey, John, Reibman, Joan, Reyes, Ramon, Robinette, Emory, Rodicio, Ileana, Ryan, Stephen, Sekhsaria, Sudhir, Sigal, Barry, Sikand, Vinay, Soong, Weily, Spangenthal, Selwyn, St. John, Roy, Steven, Gary, Subramaniam, Vijay, Sumino, Kaharu, Sztejman, Eric, Tan, Ricardo A., Tanus, Tonny, Thompson, Charles, Thornblade, Carl, Villareal, Manuel, Wenzel, Sally, Zafra, Heidi, Ziedalski, Tomasz, Harrison, Tim W, Cosio, Borja G, Lugogo, Njira L, Burden, Annie, McDermott, Lawrence, Garcia Gil, Esther, and Zangrilli, James G
Published: 2021
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22. Climate change, malaria and neglected tropical diseases: a scoping review.

Author: Klepac, Petra, Hsieh, Jennifer L, Ducker, Camilla L, Assoum, Mohamad, Booth, Mark, Byrne, Isabel, Dodson, Sarity, Martin, Diana L, Turner, C Michael R, Daalen, Kim R van, Abela, Bernadette, Akamboe, Jennifer, Alves, Fabiana, Brooker, Simon J, Ciceri-Reynolds, Karen, Cole, Jeremy, Desjardins, Aidan, Drakeley, Chris, Ediriweera, Dileepa S, and Ferguson, Neil M
Subjects: CLIMATE change, CHIKUNGUNYA, DENGUE, MALARIA, HEALTH services accessibility
Abstract: To explore the effects of climate change on malaria and 20 neglected tropical diseases (NTDs), and potential effect amelioration through mitigation and adaptation, we searched for papers published from January 2010 to October 2023. We descriptively synthesised extracted data. We analysed numbers of papers meeting our inclusion criteria by country and national disease burden, healthcare access and quality index (HAQI), as well as by climate vulnerability score. From 42 693 retrieved records, 1543 full-text papers were assessed. Of 511 papers meeting the inclusion criteria, 185 studied malaria, 181 dengue and chikungunya and 53 leishmaniasis; other NTDs were relatively understudied. Mitigation was considered in 174 papers (34%) and adaption strategies in 24 (5%). Amplitude and direction of effects of climate change on malaria and NTDs are likely to vary by disease and location, be non-linear and evolve over time. Available analyses do not allow confident prediction of the overall global impact of climate change on these diseases. For dengue and chikungunya and the group of non-vector-borne NTDs, the literature privileged consideration of current low-burden countries with a high HAQI. No leishmaniasis papers considered outcomes in East Africa. Comprehensive, collaborative and standardised modelling efforts are needed to better understand how climate change will directly and indirectly affect malaria and NTDs. [ABSTRACT FROM AUTHOR]
Published: 2024
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23. The role of working memory in syntactic sentence realization: A modeling & simulation approach

Author: Cole, Jeremy R. and Reitter, David
Published: 2019
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24. Effect of Tezepelumab on the Humoral Immune Response to Seasonal Quadrivalent Influenza Vaccination in Patients with Moderate to Severe Asthma: The Phase 3b VECTOR Study

Author: Cole, Jeremy, primary, Cąpała-Szczurko, Iwona, additional, Roseti, Stephanie, additional, Chen, Claudia, additional, Caveney, Scott, additional, Aksyuk, Anastasia A., additional, Streicher, Katie, additional, Ponnarambil, Sandhia, additional, and Colice, Gene, additional
Published: 2023
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25. Is Word Adoption a Grassroots Process? An Analysis of Reddit Communities

Author: Cole, Jeremy R., Ghafurian, Moojan, Reitter, David, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Lee, Dongwon, editor, Lin, Yu-Ru, editor, Osgood, Nathaniel, editor, and Thomson, Robert, editor
Published: 2017
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26. TEZEPELUMAB DID NOT APPEAR TO AFFECT THE HUMORAL IMMUNE RESPONSE TO SEASONAL QUADRIVALENT INFLUENZA VACCINATION IN PATIENTS WITH MODERATE-TO-SEVERE ASTHMA (VECTOR)

Author: WYNN, MADELEINE, primary, COLE, JEREMY, additional, CAPALA-SZCZURKO, IWONA, additional, ROSETI, STEPHANIE, additional, CHEN, CLAUDIA, additional, CAVENEY, SCOTT, additional, SAWYER, ANGELA, additional, AKSYUK, ANASTASIA, additional, STREICHER, KATIE, additional, and COLICE, GENE, additional
Published: 2023
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27. EFFICACY AND SAFETY OF DUPILUMAB FOR COPD WITH TYPE 2 INFLAMMATION

Author: BHATT, SURYA P, primary, RABE, KLAUS F, additional, HANANIA, NICOLA A, additional, VOGELMEIER, CLAUS F, additional, COLE, JEREMY, additional, BAFADHEL, MONA, additional, CHRISTENSON, STEPHANIE, additional, PAPI, ALBERTO, additional, SINGH, DAVE, additional, LAWS, ELIZABETH, additional, MANNENT, LEDA LM, additional, MORTENSEN, ERIC R, additional, MALONEY, JENNIFER, additional, LU, XIN, additional, BAUER, DEBORAH J, additional, BANSAL, ASHISH, additional, ROBINSON, LACEY, additional, and ABDULAI, RAOLAT, additional
Published: 2023
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28. Dupilumab leads to better-controlled asthma and quality of life in children: the VOYAGE study

Author: Fiocchi, Alessandro G., primary, Phipatanakul, Wanda, additional, Zeiger, Robert S., additional, Durrani, Sandy R., additional, Cole, Jeremy, additional, Msihid, Jérôme, additional, Gall, Rebecca, additional, Jacob-Nara, Juby A., additional, Deniz, Yamo, additional, Rowe, Paul J., additional, Lederer, David J., additional, Hardin, Megan, additional, Zhang, Yi, additional, and Khan, Asif H., additional
Published: 2023
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29. Late Breaking Abstract - Efficacy and Safety of Dupilumab for COPD with Type 2 Inflammation Indicated by Elevated Eosinophils

Author: Bhatt, Surya, primary, Rabe, Klaus F., additional, Hanania, Nicola A., additional, Vogelmeier, Claus, additional, Cole, Jeremy, additional, Bafadhel, Mona, additional, Christenson, Stephanie A., additional, Papi, Alberto, additional, Singh, Dave, additional, Laws, Elizabeth, additional, Mannent, Leda, additional, Mortensen, Eric, additional, Maloney, Jennifer, additional, Lu, Xin, additional, Bauer, Deborah, additional, Bansal, Ashish, additional, Robinson, Lacey B., additional, and Abdulai, Raolat M., additional
Published: 2023
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30. How People Talk About Armed Conflicts

Author: Cole, Jeremy R., Xu, Ying, Reitter, David, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Xu, Kevin S., editor, Reitter, David, editor, Lee, Dongwon, editor, and Osgood, Nathaniel, editor
Published: 2016
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31. Tirzepatide once weekly for the treatment of obesity in people with type 2 diabetes (SURMOUNT-2): a double-blind, randomised, multicentre, placebo-controlled, phase 3 trial

Author: Garvey, W Timothy, primary, Frias, Juan P, additional, Jastreboff, Ania M, additional, le Roux, Carel W, additional, Sattar, Naveed, additional, Aizenberg, Diego, additional, Mao, Huzhang, additional, Zhang, Shuyu, additional, Ahmad, Nadia N, additional, Bunck, Mathijs C, additional, Benabbad, Imane, additional, Zhang, Xiaotian M, additional, Abalos, Franklin H., additional, Manghi, Federico C.P., additional, Zaidman, Cesar J., additional, Vico, Marisa L., additional, Costanzo, Pablo R., additional, Serra, Leonardo P., additional, MacKinnon, Ignacio J., additional, Hissa, Miguel N., additional, Vidotti, Maria H., additional, Kerr Saraiva, Jose F., additional, Alves, Breno B., additional, Franco, Denise R., additional, Moratto, Otavio, additional, Murthy, Sreenivasa, additional, Goyal, Ghanshyam, additional, Yamasaki, Yoshimitsu, additional, Sato, Nobuyuki, additional, Inoue, Satoshi, additional, Asakura, Taro, additional, Shestakova, Marina, additional, Khaykina, Elena, additional, Troshina, Ekaterina, additional, Vorokhobina, Natalia, additional, Ametov, Alexander, additional, Tu, Shih-Te, additional, Yang, Chwen-Yi, additional, Lee, I-Te, additional, Huang, Chien-Ning, additional, Ou, Horng-Yih, additional, Freeman, George, additional, Machineni, Sriram, additional, Klein, Klara, additional, Sultan, Senan, additional, Parsa, Alan, additional, Otero-Martinez, Juan, additional, Gonzalez, Alex, additional, Bhargava, Anuj, additional, Brian, Susan, additional, Ince, Carlos, additional, Plantholt, Stephen, additional, Cole, Jeremy, additional, Lacour, Audrey, additional, Vega, Damaris, additional, de Souza, Jose, additional, Rohlf, Jane L., additional, St. John, Roy C., additional, Horowitz, Barry, additional, Audish, Hanid, additional, Galindo, Rodolfo, additional, Umpiperrez, Guillermo, additional, Ard, Jamy, additional, Curtis, Brian, additional, Garvey, William T., additional, Fraser, Neil J., additional, Mandry, Jose, additional, Mohseni, Rizwana, additional, Mayfield, Ronald, additional, Powell, Talessa, additional, Vance, Carl, additional, Ong, Stephen, additional, Lewy-Alterbaum, Ana L., additional, Murray, Alexander, additional, Al-Karadsheh, Amer, additional, Yacoub, Tamer, additional, Roberts, Kevin, additional, Fried, David L., additional, Rosenstock, Julio, additional, Pulla, Bharathi, additional, Bode, Bruce, additional, Frias, Juan, additional, Klaff, Leslie, additional, Brazg, Ronald, additional, Van, Joanna, additional, Tan, Anjanette, additional, Briskin, Toby, additional, Rhee, Margaret, additional, Chaicha-Brom, Tira, additional, Hartley, Paul A., additional, Nunez, Lazaro, additional, Cortes-Maisonet, Gregorio, additional, Soucie, Gary, additional, Hsia, Stanley, additional, and Jones, Thomas, additional
Published: 2023
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32. Dupilumab for COPD with Type 2 Inflammation Indicated by Eosinophil Counts

Author: Bhatt, Surya P., primary, Rabe, Klaus F., additional, Hanania, Nicola A., additional, Vogelmeier, Claus F., additional, Cole, Jeremy, additional, Bafadhel, Mona, additional, Christenson, Stephanie A., additional, Papi, Alberto, additional, Singh, Dave, additional, Laws, Elizabeth, additional, Mannent, Leda P., additional, Patel, Naimish, additional, Staudinger, Heribert W., additional, Yancopoulos, George D., additional, Mortensen, Eric R., additional, Akinlade, Bolanle, additional, Maloney, Jennifer, additional, Lu, Xin, additional, Bauer, Deborah, additional, Bansal, Ashish, additional, Robinson, Lacey B., additional, and Abdulai, Raolat M., additional
Published: 2023
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33. Severe Asthma Standard-of-Care Background Medication Reduction With Benralizumab: ANDHI in Practice Substudy

Author: Louis, Renaud, primary, Harrison, Tim W., additional, Chanez, Pascal, additional, Menzella, Francesco, additional, Philteos, George, additional, Cosio, Borja G., additional, Lugogo, Njira L., additional, de Luiz, Gustavo, additional, Burden, Annie, additional, Adlington, Timothy, additional, Keeling, Nanna, additional, Kwiatek, Justin, additional, Garcia Gil, Esther, additional, Pohl, Wolfgang, additional, Doberer, Daniel, additional, Martinot, Jean Benoit, additional, Deschampheleire, Maud, additional, Himpe, Ulrike, additional, Chapman, Kenneth, additional, Cheema, Amarjit, additional, Dorscheid, Delbert, additional, Ramsey, Clare, additional, Rolf, Jeffrey, additional, Walker, Brandie, additional, Olivenstein, Ronald, additional, Poirier, Claude, additional, Larivee, Pierre, additional, Bjerrum, Anne Sofie, additional, Titlestad, Ingrid, additional, Hilberg, Ole, additional, Kilpeläinen, Maritta, additional, Bonniaud, Philippe, additional, Taillé, Camille, additional, Tiotiu, Iuliana-Angelica, additional, Girodet, Pierre-Olivier, additional, Blanc, François-Xavier, additional, Pradelli, Johana, additional, Didier, Alain, additional, Nocent Ejnaini, Cecilia, additional, Deslee, Gaetan, additional, Pison, Christophe, additional, Douadi, Youcef, additional, Mahay, Guillaume, additional, Devouassoux, Gilles, additional, Melloni, Boris, additional, Roux, Pauline-Marie, additional, Bourdin, Arnaud, additional, Fry, Stephanie, additional, Schaum, Thomas, additional, Schulz, Christian, additional, Skowasch, Dirk, additional, Taube, Christian, additional, Welte, Tobias, additional, Gleiber, Wolfgang, additional, Brehler, Randolf, additional, Schreiber, Jens, additional, Schuette, Wolfgang, additional, Kronsbein, Juliane, additional, Bonnet, Reiner, additional, Beck, Ekkehard, additional, Lacedonia, Donato, additional, Senna, Gianenrico, additional, Caruso, Cristiano, additional, Crimi, Nunzio, additional, Blasi, Francesco, additional, Santus, Pierachille, additional, Canonica, Giorgio Walter, additional, Guarnieri, Gabriella, additional, Pelaia, Girolamo, additional, Milanese, Manlio, additional, Micheletto, Claudio, additional, Corsico, Angelo Guido, additional, Scichilone, Nicola, additional, Spadaro, Giuseppe, additional, Langeveld, Bas, additional, Holters, Jurgen, additional, Willem van den Berg, Jan, additional, Smit, Arthur, additional, Conemans, Lennart, additional, van Veen, Helena, additional, Staaks, Gerald, additional, Lehmann, Sverre, additional, Echave-Sustaeta, Jose Maria, additional, Ribas, Christian Domingo, additional, de Luiz Martinez, Gustavo, additional, Gonzalez Perez, Ruperto, additional, Garcia Rivero, Juan Luis, additional, Gall, Xavier Muñoz, additional, Soto Campos, Jose Gregorio, additional, Mozo, Paloma Campo, additional, Pan, Carmen Vidal, additional, Fernandez, Ana Gomez-Bastero, additional, Tellez, Sergio Campos, additional, Rivera, Carlos Martinez, additional, Bobolea, Irina Diana, additional, Guerrero, Raquel Morillo, additional, Garcia, Ismael Ali, additional, Rodriguez Hermosa, Juan Luis, additional, Stenfors, Nikolai, additional, Tunsäter, Alf, additional, Curiac, Dan, additional, von Garnier, Christophe, additional, Leuppi, Joerg, additional, Schmid-Grendelmeier, Peter, additional, Nasser, Shuaib, additional, Chaudhuri, Rekha, additional, Nordstrom, Monica, additional, Saralaya, Dinesh, additional, Pfeffer, Paul, additional, Mansur, Adel, additional, Short, Philip, additional, Wenzel, Sally, additional, Cherry, William Brett, additional, Zafra, Heidi, additional, Gonzalez, Erika, additional, Soong, Weily, additional, Davis, Benjamin, additional, Kao, Neil, additional, Hussain, Iftikhar, additional, Maselli Caceres, Diego Jose, additional, Harris, James, additional, Calhoun, William, additional, Rodicio, Ileana, additional, Kaufman, David, additional, Moss, Mark, additional, Sztejman, Eric, additional, DeLeon, Samuel, additional, Sumino, Kaharu, additional, Kashyap, Ravindra, additional, Leflein, Jeffrey, additional, Hajal, Rizan, additional, Fakih, Faisal, additional, Hill, David, additional, Lin, Robert, additional, Jarratt, Mikell, additional, Subramaniam, Vijay, additional, Sussman, Robert, additional, Mumneh, Nayla, additional, Reibman, Joan, additional, Darveaux, Jared, additional, Tan, Ricardo, additional, Tanus, Tonny, additional, Sikand, Vinay, additional, Marshall, Gailen, additional, Mehta, Hemalini, additional, Cole, Jeremy, additional, Goodman, Brad, additional, Goss, Deborah, additional, Bardelas, Jose, additional, Milstone, Aaron, additional, Mehta, Vinay, additional, Clore, Lee, additional, Millard, Mark, additional, Palumbo, Michael, additional, Puppala, Dileep, additional, Leong, Mila, additional, Prenner, Bruce, additional, Robinette, Emory, additional, Heidarian Raissy, Hengameh, additional, Fost, David, additional, Pleskow, Warren, additional, Marcus, Michael, additional, Ilowite, Jonathan, additional, Moore, Wendy, additional, Steven, Gary, additional, De la Cruz, Luis, additional, Chupp, Geoffrey, additional, Berger, William, additional, Randolph, Christopher, additional, Holguin, Fernando, additional, Kureishy, Shahrukh, additional, and Campbell, Edward, additional
Published: 2023
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34. NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders

Author: Soares, Livio, primary, Gillick, Daniel, additional, Cole, Jeremy, additional, and Kwiatkowski, Tom, additional
Published: 2023
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35. Long-term safety and efficacy of tezepelumab in people with severe, uncontrolled asthma (DESTINATION): a randomised, placebo-controlled extension study

Author: Menzies-Gow, Andrew, primary, Wechsler, Michael E, additional, Brightling, Christopher E, additional, Korn, Stephanie, additional, Corren, Jonathan, additional, Israel, Elliot, additional, Chupp, Geoffrey, additional, Bednarczyk, Artur, additional, Ponnarambil, Sandhia, additional, Caveney, Scott, additional, Almqvist, Gun, additional, Gołąbek, Monika, additional, Simonsson, Linda, additional, Lawson, Kaitlyn, additional, Bowen, Karin, additional, Colice, Gene, additional, Hetzel, Jorge Lima, additional, Fiterman, Jussara, additional, Souza Machado, Adelmir, additional, Antila, Martti Anton, additional, Lima, Marina Andrade, additional, Minamoto, Suzana Erico Tanni, additional, Blanco, Daniela Cavalet, additional, Bezerra, Patricia Gomes de Matos, additional, Houle, Pierre-Alain, additional, Lemiere, Catherine, additional, Melenka, Lyle S, additional, Leigh, Richard, additional, Mitchell, Patrick, additional, Anees, Syed, additional, Pek, Bonavuth, additional, Chouinard, Guy, additional, Cheema, Amarjit S, additional, Yang, William Ho-Ching, additional, Philteos, George, additional, Chanez, Pascal, additional, Bourdin, Arnaud, additional, Devouassoux, Gilles, additional, Taille, Camille, additional, De Blay, Frédéric, additional, Leroyer, Christophe, additional, Beurnier, Antoine, additional, Garcia, Gilles, additional, Girodet, Pierre-Olivier, additional, Blanc, François-Xavier, additional, Magnan, Antoine, additional, Wanin, Stéphanie, additional, Just, Jocelyne, additional, Linde, Richard, additional, Zielen, Stefan, additional, Förster, Karin, additional, Geßner, Christian, additional, Jandl, Margret, additional, Buhl, Roland Otto, additional, Kornmann, Marc Oliver, additional, Linnhoff, Anneliese, additional, Ludwig-Sengpiel, Andrea, additional, Ehlers, Martin, additional, Schmoller, Tibor, additional, Steffen, Heiner, additional, Hoffmann, Martin, additional, Kirschner, Joachim, additional, Schmidt, Olaf, additional, Welte, Tobias, additional, Temme, Hilke, additional, Wand, Ori, additional, Bar-Shai, Amir, additional, Izbicki, Gabriel, additional, Berkman, Neville, additional, Fink, Gershon, additional, Shitrit, David, additional, Adir, Yochai, additional, Kuna, Piotr, additional, Rewerska, Barbara, additional, Pisarczyk-Bogacka, Ewa, additional, Kurbacheva, Oksana, additional, Mikhailov, Sergey L, additional, Vasilev, Maksim, additional, Emelyanov, Alexander, additional, Wali, Siraj, additional, Albanna, Amr, additional, van Zyl-Smit, Richard, additional, Abdullah, Ismail, additional, Bernhardi, David, additional, Hoosen, Farzana, additional, Irusen, Elvis, additional, Kalla, Ismail, additional, Lakha, Deepak, additional, Mitha, Essack, additional, Naidoo, Visvakuren, additional, Nell, Haylene, additional, Padayachee, Trevenesan, additional, Reddy, Jeevren, additional, Petrick, Friedrich, additional, van der Walt, Eugene, additional, Vawda, Zubar Fazal Ahmed, additional, Park, Hae-Sim, additional, Lee, Sang Haak, additional, Kim, Mi-Kyeong, additional, Park, Jung-Won, additional, Cho, You Sook, additional, Lee, Byung Jae, additional, Chang, Yoon-Seok, additional, Park, Choon-Sik, additional, Lee, Kwan Ho, additional, Lee, Sook Young, additional, Yoon, HyoungKyu, additional, Sohn, Kyoung Hee, additional, Park, Myung Jae, additional, Min, Kyung Hoon, additional, Cho, Young Joo, additional, Park, Han Ki, additional, Lee, YongChul, additional, Lee, Jaechun, additional, Sheu, Chau-Chyun, additional, Tu, Chih-Yen, additional, Lee, Kang-Yun, additional, Bavbek, Sevim, additional, Gemicioglu, Bilun, additional, Ediger, Dane, additional, Kalkan, Ilkay Koca, additional, Makieieva, Nataliia, additional, Ostrovskyy, Mykola, additional, Dytyatkovs'ka, Yevgeniya, additional, Mostovoy, Yuriy Mykhaylovych, additional, Lebed, Kyrylo, additional, Yakovenko, Oleh, additional, Adams, Atoya, additional, Mooring, Timothy, additional, Torres Jr, Louis, additional, Sexton, Marvin, additional, Thompson, Ernest, additional, Bernstein, Jonathan A, additional, Lisi, Paul, additional, Chappel, Christopher M, additional, Cole, Jeremy, additional, Greenwald, Gary I, additional, Jones, Conigliaro, additional, Klein, Ryan Mitchell, additional, Pham, David N, additional, Spangenthal, Selwyn, additional, Weinstein, Steven F, additional, Windom, Hugh H, additional, Kao, Neil L, additional, Leong, Mila A, additional, Mehta, Vinay, additional, Moore, Wendy C, additional, Bhat, Saligrama, additional, Aish, Bassil, additional, Meltzer, Steven M, additional, Moss, Mark H, additional, Kerwin, Edward M, additional, Delgado, John Palsted, additional, Lucksinger, Gregg Hudson, additional, Thompson, Charles A, additional, Alpizar, Sady A, additional, Vadgama, Sanjay Virgi, additional, Zafar, Zahid, additional, Jacobs, Joshua S, additional, Lugogo, NJira, additional, Jain, Neal, additional, Sher, Lawrence D, additional, Andrawis, Nabil S, additional, Fuentes, David, additional, Boren, Eric Jason, additional, Gonzalez, Erika G, additional, Talreja, Neetu, additional, Durrani, Sheharyar Sandy, additional, Sekhsaria, Sudhir, additional, DeLeon, Samuel, additional, Shukla, Mayank, additional, Totszollosy Tarpay, Martha M, additional, Fakih, Faisal, additional, Hudes, Golda, additional, Tillinghast, Jeffrey P, additional, Korenblat, Phillip E, additional, Shenoy, Kartik, additional, Que, Loretta, additional, Kureishy, Shahrukh Ahmad, additional, Umeh, Fred Chukwuemeka, additional, Nguyen, Vinh Nhu, additional, Chu, Hanh Thi, additional, and Nguyen, Thuy Thi Dieu, additional
Published: 2023
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36. Selectively Answering Ambiguous Questions

Author: Cole, Jeremy, primary, Zhang, Michael, additional, Gillick, Daniel, additional, Eisenschlos, Julian, additional, Dhingra, Bhuwan, additional, and Eisenstein, Jacob, additional
Published: 2023
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37. Forabot: Automated Planktic Foraminifera Isolation and Imaging

Author: Richmond, Turner, primary, Cole, Jeremy, additional, Dangler, Gabriella, additional, Daniele, Michael, additional, Marchitto, Thomas, additional, and Lobaton, Edgar, additional
Published: 2022
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38. Democracy Exported, History Expunged: John Dewey's Trip to Turkey and the Challenge of Building 'Civilised' Nations for Democratic Life

Author: Cole, Jeremy
Abstract: In 1924, John Dewey travelled to Turkey to make recommendations on the Turkish educational system. According to many existing accounts, Dewey brought a sorely needed progressive educational perspective to a nation emerging from centuries of despair. On the whole, these accounts dismiss the Ottoman legacy and overlook how Dewey's historical thinking coloured his view of Turkish democracy. This article draws on these considerations to offer a critical re-reading of Dewey's trip, arguing that the visit, rather than supporting the expansion of a bottom-up democratic perspective in the Turkish educational system, actually helped advance top-down Turkish nation-building. In so doing, it explores the connections between history and democracy in Dewey's thinking, reclaims the significance of the Ottoman legacy, examines the role of education in radically remaking the Turkish public, and points to the need for studying places and times where schooling is used to expunge history in the name of exporting democracy.
Published: 2014
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39. A new imaging/therapy platform by using external radionuclide (192Ir) part 2: data acquisition and analysis for breast imaging

Author: Fang, Jian, Wu, Xiaodong, Yang, Yidong, Shang, Charles, Cole, Jeremy, and Zhao, Weizhao
Published: 2016
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40. Military Uniform Identification for Search And Rescue (SAR) through Machine Learning

Author: Dubetsky, Benjamin, primary, Fernandez, Kevin, additional, Christopher, Garrett, additional, Singh, Lakhan, additional, Hughes, Jason, additional, Cole, Jeremy, additional, and Novitzky, Michael, additional
Published: 2022
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41. Linking Memory Activation and Word Adoption in Social Language Use via Rational Analysis

Author: Cole, Jeremy, Ghafurian, Moojan, and Reitter, David
Subjects: PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Problem Solving, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Consciousness, 02 engineering and technology, Social and Behavioral Sciences, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Creativity, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Reasoning, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Judgment and Decision Making, 0202 electrical engineering, electronic engineering, information engineering, Psychology, bepress|Social and Behavioral Sciences|Linguistics, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Biases, Framing, and Heuristics, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Attention, Cognitive Psychology, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Memory, Linguistics, 020206 networking & telecommunications, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Concepts and Categories, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Imagery, bepress|Social and Behavioral Sciences|Psychology|Cognitive Psychology, Computational Linguistics, FOS: Psychology, bepress|Social and Behavioral Sciences|Linguistics|Computational Linguistics, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Language, PsyArXiv|Social and Behavioral Sciences, PsyArXiv|Social and Behavioral Sciences|Linguistics|Computational Linguistics, FOS: Languages and literature, bepress|Social and Behavioral Sciences, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology, 020201 artificial intelligence & image processing, PsyArXiv|Social and Behavioral Sciences|Linguistics, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Learning
Abstract: This paper investigates how cognition facilitates the adoption of new words through a study of the large-scale Reddit corpus, which contains written, threaded conversations conducted over the internet. Parameters for the cognitive architecture are estimated. Using ACT-R's account of declarative memory, the activation of memory chunks representing words is traced and compared to usage statistics sampled from a year of data. Potential values for decay and retrieval threshold are identified according to model fit and growth rates of word adoption. The resulting estimate for the decay parameter, d, is 0.22, and the estimate for the retrieval threshold parameter, rt, lies between 3.4 and 4.5.
Published: 2022
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42. Is Word Adoption a Grassroots Process? An Analysis of Reddit Communities

Author: Cole, Jeremy R., primary, Ghafurian, Moojan, additional, and Reitter, David, additional
Published: 2017
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43. How People Talk About Armed Conflicts

Author: Cole, Jeremy R., primary, Xu, Ying, additional, and Reitter, David, additional
Published: 2016
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44. Dupilumab Improves Asthma Control, and Allergic Rhinitis-Related Health-Related Quality of Life in Children With Uncontrolled Persistent Asthma With Comorbid Allergic Rhinitis

Author: Fiocchi, Alessandro, primary, Phipatanakul, Wanda, additional, Durrani, Sandy, additional, Cole, Jeremy, additional, Liu, Dongfang, additional, Msihid, Jérôme, additional, Lederer, David, additional, Hardin, Megan, additional, Zhang, Yi, additional, and Khan, Asif, additional
Published: 2022
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45. Time-Aware Language Models as Temporal Knowledge Bases

Author: Dhingra, Bhuwan, primary, Cole, Jeremy R., additional, Eisenschlos, Julian Martin, additional, Gillick, Daniel, additional, Eisenstein, Jacob, additional, and Cohen, William W., additional
Published: 2022
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46. Principles of local realism in a Friedmann universe

Author: Cole, Jeremy
Subjects: Born, cosmic inflation, Quantum physics, standard model, quantum cosmology, conservation of energy, Energy conservation, Quantum, problem of time, vacuum catastrophe, Superdeterminism, general relativity, Virtual particles, Dual slit experiment, Friedmann equations, theoretical physics, Bell’s theorem, convergence, cosmological constant, Determinism, special relativity, hamiltonian, quantum mechanics, Particle physics, Cosmological constant problem, nature, Copenhagen interpretation, Friedmann, the flatness problem, Friedmann equation, Bell's theorem, gravitation, theory of everything, Thermodynamics, Local realism, entropy, cosmology, divergence, physics
Abstract: The problem of time is a statement of the inability to establish the standard model according to a consistent physical framework based on a valid starting point provided from either the concept of time in quantum mechanics (QM) or general relativity (GR). Using the deterministic local realism approach of Bell’s inequality experiment, a valid mathematical starting point incorporating both QM and GR can be established using the concept of energy conservation within a volume of spacetime. Because Friedmann established a system that correlates the energy level within the volume of spacetime with the proximity between energy mass, with two opposing universal forces that must act on the reconfiguration of particles when considering a realism-based definite position as they evolve in time independent of observation, it is possible to consider QM time evolution as a form of deterministic thermodynamic work. Considering this volume of spacetime in terms of the local realism interpretation allows one to consider the act of time evolution as a reconfiguration that occurs along with the expansion of volume which allows one to establish an energy conservation argument using only the particles that exist within the volume of spacetime to account for both the gravitational energy and the divergent energy usually attributed to the cosmological constant. With this argument time evolution must cost system energy. For energy to be conserved the use of system energy must be for the act of gravitation as a particle evolves in time. The definition of local realism allows Minkowski spacetime diagrams to pertain to the unseen intervals between measurements. This allows a center frame observer to serve as a background clock to measure time rates in correlation to scale factor expansion. This allows one to consider time rates in terms of work that must occur over an interval of a background clock. In the case of local realism, Minkowski mathematics allow a direct correlation between QM time evolution and the second Friedmann equation.
Published: 2021
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47. Simultaneous Localization of Biobotic Insects using Inertial Data and Encounter Information

Author: Cole, Jeremy, primary, Bozkurt, Alper, additional, and Lobaton, Edgar, additional
Published: 2021
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48. Principles of local realism in a Friedmann universe

Author: Cole, Jeremy, primary
Published: 2021
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49. Dupilumab improves asthma control and quality of life in children with uncontrolled persistent asthma

Author: Fiocchi, Alessandro, primary, Phipatanakul, Wanda, additional, Durrani, Sandy R., additional, Cole, Jeremy, additional, Mao, Xuezhou, additional, Msihid, Jérôme, additional, Lederer, David J., additional, Hardin, Megan, additional, Zhang, Yi, additional, and Khan, Asif H., additional
Published: 2021
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50. TEZEPELUMAB DID NOT APPEAR TO AFFECT THE HUMORAL IMMUNE RESPONSE TO SEASONAL QUADRIVALENT INFLUENZA VACCINATION IN PATIENTS WITH MODERATE-TO-SEVERE ASTHMA (VECTOR)

Author: COLE, JEREMY, CAPALA-SZCZURKO, IWONA, ROSETI, STEPHANIE, CHEN, CLAUDIA, CAVENEY, SCOTT, SAWYER, ANGELA, AKSYUK, ANASTASIA, STREICHER, KATIE, and COLICE, GENE
Published: 2023
Full Text: View/download PDF

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