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Your search keyword '"SUN Zhiqing"' showing total 5 results
Start Over Author "SUN Zhiqing" Publisher association for computational linguistics
5 results on '"SUN Zhiqing"'

1. Active Retrieval Augmented Generation

Author

Jiang, Zhengbao, primary, Xu, Frank, additional, Gao, Luyu, additional, Sun, Zhiqing, additional, Liu, Qian, additional, Dwivedi-Yu, Jane, additional, Yang, Yiming, additional, Callan, Jamie, additional, and Neubig, Graham, additional

Published
2023
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2. PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Author

Bach, Stephen H., Sanh, Victor, Yong, Zheng-Xin, Webson, Albert, Raffel, Colin, Nayak, Nihal V., Sharma, Abheesht, Kim, Taewoon, Bari, M Saiful, Fevry, Thibault, Alyafeai, Zaid, Dey, Manan, Santilli, Andrea, Sun, Zhiqing, Ben-David, Srulik, Xu, Canwen, Chhablani, Gunjan, Wang, Han, Fries, Jason Alan, Al-shaibani, Maged S., Sharma, Shanya, Thakker, Urmish, Almubarak, Khalid, Tang, Xiangru, Radev, Dragomir, Jiang, Mike Tian-Jian, and Rush, Alexander M.

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computation and Language (cs.CL), Machine Learning (cs.LG)
Abstract

PromptSource is a system for creating, sharing, and using natural language prompts. Prompts are functions that map an example from a dataset to a natural language input and target output. Using prompts to train and query language models is an emerging area in NLP that requires new tools that let users develop and refine these prompts collaboratively. PromptSource addresses the emergent challenges in this new setting with (1) a templating language for defining data-linked prompts, (2) an interface that lets users quickly iterate on prompt development by observing outputs of their prompts on many examples, and (3) a community-driven set of guidelines for contributing new prompts to a common pool. Over 2,000 prompts for roughly 170 datasets are already available in PromptSource. PromptSource is available at https://github.com/bigscience-workshop/promptsource., Comment: ACL 2022 Demo

Published
2022

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