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1. KIT-19: A Comprehensive Korean Instruction Toolkit on 19 Tasks for Fine-Tuning Korean Large Language Models

Author

Jang, Dongjun, Byun, Sungjoo, Jo, Hyemi, and Shin, Hyopil

Subjects
Computer Science - Computation and Language
Abstract

Instruction Tuning on Large Language Models is an essential process for model to function well and achieve high performance in specific tasks. Accordingly, in mainstream languages such as English, instruction-based datasets are being constructed and made publicly available. In the case of Korean, publicly available models and datasets all rely on using the output of ChatGPT or translating datasets built in English. In this paper, We introduce \textit{KIT-19} as an instruction dataset for the development of LLM in Korean. \textit{KIT-19} is a dataset created in an instruction format, comprising 19 existing open-source datasets for Korean NLP tasks. In this paper, we train a Korean Pretrained LLM using \textit{KIT-19} to demonstrate its effectiveness. The experimental results show that the model trained on \textit{KIT-19} significantly outperforms existing Korean LLMs. Based on the its quality and empirical results, this paper proposes that \textit{KIT-19} has the potential to make a substantial contribution to the future improvement of Korean LLMs' performance.

Published
2024

2. DaG LLM ver 1.0: Pioneering Instruction-Tuned Language Modeling for Korean NLP

Author

Jang, Dongjun, Lee, Sangah, Byun, Sungjoo, Kim, Jinwoong, Seo, Jean, Kim, Minseok, Kim, Soyeon, Oh, Chaeyoung, Kim, Jaeyoon, Jo, Hyemi, and Shin, Hyopil

Subjects
Computer Science - Computation and Language
Abstract

This paper presents the DaG LLM (David and Goliath Large Language Model), a language model specialized for Korean and fine-tuned through Instruction Tuning across 41 tasks within 13 distinct categories.

Published
2023

6. Automatic Construction of a Korean Toxic Instruction Dataset for Ethical Tuning of Large Language Models

Author

Byun, Sungjoo, Jang, Dongjun, Jo, Hyemi, Shin, Hyopil, Byun, Sungjoo, Jang, Dongjun, Jo, Hyemi, and Shin, Hyopil

Abstract

Caution: this paper may include material that could be offensive or distressing. The advent of Large Language Models (LLMs) necessitates the development of training approaches that mitigate the generation of unethical language and aptly manage toxic user queries. Given the challenges related to human labor and the scarcity of data, we present KoTox, comprising 39K unethical instruction-output pairs. This collection of automatically generated toxic instructions refines the training of LLMs and establishes a foundational framework for improving LLMs' ethical awareness and response to various toxic inputs, promoting more secure and responsible interactions in Natural Language Processing (NLP) applications., Comment: NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following

Published
2023

8. Nusinersen versus sham control in later-onset spinal muscular atrophy

Author

Vogt, Sibylle, Krueger, Marcus, Pechmann, Astrid, Rippberger, Bianca, Eckenweiler, Matthias, Schara, Ulrike, Koelbel, Heike, Andres, Barbara, Rupprich, Katrin, Gangfuss, Andrea, Jachertz, Philipp, Della Marina, Adela, Sponemann, Nina, Pane, Markia, Palermo, Concetta, Piastra, Marco, Fanelli, Lavinia, de Sanctis, Roberto, Genovese, Orazio, Antonaci, Laura, Pera, Maria Carmela, Lamendola, Priscilla, Messina, Sonia, Vita, Gianluca, Di Bella, Vincenzo, Sframeli, Maria, Rosa, Matteo, Barcellona, Costanza, Distefano, Maria Grazia, Cavallaro, Filippo, Versaci, Antonio, de Luca, Francesco, Vita, Giuseppe, Nacimento Osorio, Andres, Tizzano, Eduardo, Ortez Gonzalez, Carlos Ignacio, Ortigoza Escobar, Juan Dario, Colomer Oferil, Juame, Medina Cantillo, Julita, Febrer Rotger, Anna, Vigo Morancho, Meritxell, Eldblom, Johanneh, Darin, Niklas, Kroksmark, Anna Karin, Lindstedt, Asa, Michael, Eva, Kimber, Eva, Wahlgren, Lisa, Chan, Sophelia Hoi-Shan, Chim, Stella, Chiu, Joseph, Ho, Alvin Chi Chung, Ip, Jing Kun Janice, Lam, Wendy Wai Man, Ng, Maggie Chui-San, Wan, Connie, Wong, Virginia Chun Nei, Yue, Yvonne, Arakawa, Reiko, Yamauchi, Akemi, Nagata, Satoru, Ito, Yasushi, Nakatsukasa, Hidetsugu, Takeshita, Akiko, Hirasawa, Kyoko, Ikai, Tetsuo, Eto, Kaoru, Otamni, Yui, Takeshima, Yasuhiro, Fukuda, Noroki, Tanaka, Yasuhiro, Shimomura, Hideki, Lee, Tomoko, Shibano, Takayuki, Mercuri, E., Tachikawa, Tomohiro, Darras, B. T., Chae, Jong-Hee, Chiriboga, C. A., Lim, Byung Chan, Day, J. W., Shin, Hyung-Ik, Campbell, C., Kim, Soo Yeon, Connolly, A. M., Choi, Sun Ah, Iannaccone, S. T., Son, Woo Sung, Kirschner, J., Jo, Hyemi, Kuntz, N. L., Chun, Seong Min, Saito, K., Kim, Hyuna, Shieh, P. B., Tulinius, M., Mazzone, E. S., Montes, J., Bishop, K. M., Yang, Q., Foster, R., Gheuens, S., Bennett, C. F., Farwell, W., Schneider, E., de Vivo, D. C., Finkel, R. S., Bradley, Walter G., Kaufmann, Petra, Dickson, Patricia I., Reingold, Stephen C., Davis, Charles S., Arredondo, Kristen, Castro, Diana, Cowie, Margaret, Farrow-Gillespie, Alan, Hebert, Andrew, Kauk, Melissa, Miller, Nancy, Nelson, Leslie, Spain, Thomas, Cappell, Joshua, Constantinescu, Andrei, Cruz, Rosangel, Dastgir, Jahannaz, de Vivo, Darryl, Dunaway, Sally, Engelstad, Kristin, Khandji, Alexander G., Kramer, Samantha, Marra, Jonathan, Popolizio, Molly, Salazar, Rachel, Weimer, Louis H., Aziz-Zaman, Sonya, Lamarca, Nicole, Ghosh, Partha, Al-Ghamdi, Fouad, Liew, Wendy, Graham, Robert, Berde, Charles, Sethna, Navil, Koka, Anjali, Wang, Luke, Laine, Regina, Souris, Michelle, Ordonez, Grace, Harrington, Timothy, Szelag, Heather, Pasternak, Amy, Mirek, Elizabeth, Quigley, Janet, Finkel, Richard, Berry, Debbie, Civitello, Matthew, Endsley, Julie Duke, Eden, Candace, Leon, Wendy, O'Reardon, Kathleen, Sigurdardottir, Laufey, Johnson, Craig, Turner, Jenna, Vega, Melisa, Weber-Guzman, Fabiola, Zinn, Matthias, Rocha, Ana Carolina Tesi, Watson, Karolina, d'Souza, Genevieve, Ramamurthi, R. J., Gee, Richard, Kitsuwa-Lowe, Janis, Hagerman, Katharine, Crasta, Sheela, Welsh, Lesly, Paulose, Shirley, Mcfall, Danielle, Perez, Jennifer, Patnaik, Swetapadma, Sanjanwala, Bharati, Sakamuri, Sarada, Proud, Crystal, Purse, Bona Park, Duong, Trinh Tina, Sampson, Jacinda, Tennekoon, Gihan, Brandsema, John, Glanzman, Allan, Flickinger, Jean, Toms, Michele, Adang, Laura, Stanford, Delores, Mayer, Oscar, Zigmont, Joshua, Chadehumbe, Madeline, Kichula, Elizabeth, Finanger, Erika, Russman, Barry, Roberts, Colin, Frank, Andrea, Benjamin, Danielle, Zilke, Kirsten, Golumbek, Paul T., Zaidman, Craig M., Anand, Pallavi, Gadeken, Rebecca, Siener, Catherine, Kuntz, Nancy, Epstein, Leon, Krueger, Jena, Goldman, Stewart, Krosschell, Kristin, Blomgren, Colleen, Choi, Hyoung Won, Kurz, Jonathan, Parsons, Julie, Janas, Joanne, Yang, Michele, Ballard, Alison, Carry, Terri, Shea, Stephanie, Bielsky, Alan, Booker, Kaylee, Camuto, Alicia, Lord-Halvorson, Sierra, Gibbons, Melissa, Zimmerman, Carl, Allen, Victoria, Fuhr, Peter, Johnson, Hannah, Tran, Vi, Vanderveen, Gina, Shieh, Perry, Fowler, Eileen, Parziale, Nicholas, Rao, Lekha, Skura, Christy, Kelley, Carolyn, Shu, Francy, Oskoui, Maryam, Zielinski, David, Poulin, Chantal, Ingelmo, Pablo Mauricio, Desilets, Sarah Turgeon, Dinunzio, Pamela, Rivera, Gonzalo, Srour, Myriam, Arpin, Stephanie, Goobie, Sharan, Gibson, Paul, Scholtes, Cheryl, Mcdonald, Wendy, Zapata, Eugenio, Nguyen, Cam-Tu Emilie, Servais, Laurent, Gargaun, Elena, Le Moing, Anne-Gaelle, Gidaro, Teresa, Vialle, Raphael, Guye, Marie-Laurence, Lilien, Charlotte, Olliver, Gwenn, Gilabert, Stephanie, Borell, Sabine, Wider, Sabine, Stein, Sabine, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Department of Paediatrics, Università cattolica del Sacro Cuore = Catholic University of the Sacred Heart [Roma] (Unicatt), Vall d'Hebron University Hospital [Barcelona], CIBER de Enfermedades Raras (CIBERER), Handicaps génétiques de l'enfant (Inserm U393), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Seoul National University Hospital, Max-Planck-Institut für Mikrostrukturphysik (MPI-HALLE), Max-Planck-Gesellschaft, The University of Tokyo (UTokyo), Institut de Chimie Organique et Analytique (ICOA), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Orléans (UO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Institute of Plasma Physics, Chinese Academy of Sciences (ASIPP), Institut Necker Enfants-Malades (INEM - UM 111 (UMR 8253 / U1151)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire de mécanique des solides (LMS), École polytechnique (X)-Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), CureSMA [Elk Grove Village, IL, USA], Harvard Medical School [Boston] (HMS), Institute for Marine and Antarctic Studies [Hobart] (IMAS), University of Tasmania [Hobart, Australia] (UTAS), The Hospital for sick children [Toronto] (SickKids), University of Toronto, The Open University [Milton Keynes] (OU), Department of Pediatrics, Feinberg School of Medicine, Northwestern University [Evanston]-Northwestern University [Evanston]-Northwestern University, University Hospital Basel [Basel], McGill University Health Center [Montreal] (MUHC), Service de génétique [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Hôpital Bretonneau, Service of Clinical Trials and Databases, Institut de Myologie, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Association française contre les myopathies (AFM-Téléthon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Association française contre les myopathies (AFM-Téléthon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Association française contre les myopathies (AFM-Téléthon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Amiens-Picardie, Groupe de Recherche sur l'Analyse Multimodale de la Fonction Cérébrale - UMR INSERM_S 1105 (GRAMFC), Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), University of Oxford, Schara, Ulrike (Beitragende*r), Koelbel, Heike (Beitragende*r), Rupprich, Katrin (Beitragende*r), Gangfuss, Andrea (Beitragende*r), Della Marina, Adela (Beitragende*r), and Sponemann, Nina (Beitragende*r)

Subjects
0301 basic medicine, Male, [SDV]Life Sciences [q-bio], spinal, Medizin, Oligonucleotides, Spinal Muscular Atrophies of Childhood, Pediatrics, law.invention, Age of Onset, Child, Child, Preschool, Double-Blind Method, Female, Humans, Infant, Injections, Spinal, Least-Squares Analysis, Motor Skills, Oligonucleotides, Antisense, Medicine (all), 0302 clinical medicine, age of onset, Randomized controlled trial, law, Clinical endpoint, inglese, injections, Motor skill, motor skills, General Medicine, SMA, Settore MED/26 - NEUROLOGIA, medicine.anatomical_structure, female, Anesthesia, Nusinersen, Spinal, antisense, preschool, Injections, 03 medical and health sciences, least-squares analysis, Settore MED/39 - NEUROPSICHIATRIA INFANTILE, Settore MED/41 - ANESTESIOLOGIA, medicine, Antisense, Preschool, business.industry, Spinal muscular atrophy, Motor neuron, medicine.disease, 030104 developmental biology, Age of onset, business, 030217 neurology & neurosurgery
Abstract

Background: Nusinersen is an antisense oligonucleotide drug that modulates pre–messenger RNA splicing of the survival motor neuron 2 (SMN2) gene. It has been developed for the treatment of spinal muscular atrophy (SMA). Methods: We conducted a multicenter, double-blind, sham-controlled, phase 3 trial of nusinersen in 126 children with SMA who had symptom onset after 6 months of age. The children were randomly assigned, in a 2:1 ratio, to undergo intrathecal administration of nusinersen at a dose of 12 mg (nusinersen group) or a sham procedure (control group) on days 1, 29, 85, and 274. The primary end point was the least-squares mean change from baseline in the Hammersmith Functional Motor Scale–Expanded (HFMSE) score at 15 months of treatment; HFMSE scores range from 0 to 66, with higher scores indicating better motor function. Secondary end points included the percentage of children with a clinically meaningful increase from baseline in the HFMSE score (≥3 points), an outcome that indicates improvement in at least two motor skills. Results: In the prespecified interim analysis, there was a least-squares mean increase from baseline to month 15 in the HFMSE score in the nusinersen group (by 4.0 points) and a least-squares mean decrease in the control group (by –1.9 points), with a significant between-group difference favoring nusinersen (least-squares mean difference in change, 5.9 points; 95% confidence interval, 3.7 to 8.1; P Conclusions: Among children with later-onset SMA, those who received nusinersen had significant and clinically meaningful improvement in motor function as compared with those in the control group. (Funded by Biogen and Ionis Pharmaceuticals; CHERISH ClinicalTrials.gov number, NCT02292537. opens in new tab.)

Published
2018

10. Radiation risk perception and its associated factors among residents living near nuclear power plants: A nationwide survey in Korea

Author

Sung, Hyoju, Kim, Jung Un, Lee, Dalnim, Jin, Young Woo, Jo, Hyemi, Jun, Jae Kwan, Park, Sunhoo, and Seo, Songwon

Abstract

There has been increased interest in researching risk perception of radiation to implement successful risk communication, particularly given the recent worldwide nuclear policy movement regarding nuclear energy. This study aimed to investigate characteristics of risk perception among residents living near normally operating nuclear power plants in South Korea by identifying factors associated with risk perception. A survey was conducted with face-to-face interviews for 1200 residents aged 20–84 years by gender- and age-stratified random sampling. Risk perception was associated with trust perception in nuclear safety, but was not highly correlated with benefit perception for utilizing nuclear power. Relatively high risk perception was observed in women, older age groups, and residents not having experience of nuclear-related education or work. This association remained after adjusting for other factors including benefit perception, trust perception, and psychological distress. In addition to these individual characteristics, risk perception was also associated with a residential district's own unique context, indicating that a strategy of risk communication should be developed differently for residents facing nuclear-related circumstances. Given that risk perception can be changed, depending on social values such as safety culture and economic setting, further studies are required to understand the changing characteristics of radiation risk perception.

Published
2021
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