v1v2 (latest)

Do Prompt-Based Models Really Understand the Meaning of their Prompts?

2 September 2021

Papers citing "Do Prompt-Based Models Really Understand the Meaning of their Prompts?"

27 / 277 papers shown

Title
Shortcut Learning of Large Language Models in Natural Language UnderstandingCommunications of the ACM (CACM), 2022 Mengnan Du Fengxiang He Na Zou Dacheng Tao Helen Zhou KELM OffRL 342 108 0 25 Aug 2022
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language ModelsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022 Hendrik Strobelt Albert Webson Victor Sanh Benjamin Hoover Johanna Beyer Hanspeter Pfister Alexander M. Rush VLM 155 174 0 16 Aug 2022
Language models show human-like content effects on reasoning tasks Ishita Dasgupta Andrew Kyle Lampinen Stephanie C. Y. Chan Hannah R. Sheahan Antonia Creswell D. Kumaran James L. McClelland Felix Hill ReLM LRM 419 210 0 14 Jul 2022
BioTABQA: Instruction Learning for Biomedical Table Question AnsweringConference and Labs of the Evaluation Forum (CLEF), 2022 Man Luo S. Saxena Swaroop Mishra Mihir Parmar Chitta Baral LMTD 308 16 0 06 Jul 2022
MVP: Multi-task Supervised Pre-training for Natural Language GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Tianyi Tang Junyi Li Wayne Xin Zhao Ji-Rong Wen 272 29 0 24 Jun 2022
Using cognitive psychology to understand GPT-3Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2022 Marcel Binz Eric Schulz ELM LLMAG 559 607 0 21 Jun 2022
InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Prakhar Gupta Cathy Jiao Yi-Ting Yeh Shikib Mehri M. Eskénazi Jeffrey P. Bigham ALM 296 54 0 25 May 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Mingkai Deng Jianyu Wang Cheng-Ping Hsieh Yihan Wang Han Guo Tianmin Shu Meng Song Eric Xing Zhiting Hu 301 422 0 25 May 2022
Large Language Models are Zero-Shot ReasonersNeural Information Processing Systems (NeurIPS), 2022 Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 1.3K 5,855 0 24 May 2022
Improving Short Text Classification With Augmented Data Using GPT-3Natural Language Engineering (NLE), 2022 Salvador Balkus Donghui Yan 147 55 0 23 May 2022
Instruction Induction: From Few Examples to Natural Language Task DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 432 174 0 22 May 2022
Can Foundation Models Wrangle Your Data?Proceedings of the VLDB Endowment (PVLDB), 2022 A. Narayan Ines Chami Laurel J. Orr Simran Arora Christopher Ré LMTD AI4CE 392 280 0 20 May 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningNeural Information Processing Systems (NeurIPS), 2022 Haokun Liu Derek Tam Mohammed Muqeeth Jay Mohta Tenghao Huang Joey Tianyi Zhou Colin Raffel 433 1,135 0 11 May 2022
The Unreliability of Explanations in Few-shot Prompting for Textual ReasoningNeural Information Processing Systems (NeurIPS), 2022 Xi Ye Greg Durrett ReLM LRM 270 220 0 06 May 2022
Language Models in the Loop: Incorporating Prompting into Weak SupervisionACM / IMS Journal of Data Science (JDS), 2022 Ryan Smith Jason Alan Fries Braden Hancock Stephen H. Bach 246 61 0 04 May 2022
OPT: Open Pre-trained Transformer Language Models Susan Zhang Stephen Roller Naman Goyal Mikel Artetxe Moya Chen ... Daniel Simig Punit Singh Koura Anjali Sridhar Tianlu Wang Luke Zettlemoyer VLM OSLM AI4CE 799 4,320 0 02 May 2022
Data Distributional Properties Drive Emergent In-Context Learning in TransformersNeural Information Processing Systems (NeurIPS), 2022 Stephanie C. Y. Chan Adam Santoro Andrew Kyle Lampinen Jane X. Wang Aaditya K. Singh Pierre Harvey Richemond J. Mcclelland Felix Hill 765 322 0 22 Apr 2022
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning Mihir Parmar Swaroop Mishra Mirali Purohit Man Luo M. H. Murad Chitta Baral 189 23 0 15 Apr 2022
Can language models learn from explanations in context?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Andrew Kyle Lampinen Ishita Dasgupta Stephanie C. Y. Chan Kory Matthewson Michael Henry Tessler Antonia Creswell James L. McClelland Jane X. Wang Felix Hill LRM ReLM 512 347 0 05 Apr 2022
PERFECT: Prompt-free and Efficient Few-shot Learning with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Rabeeh Karimi Mahabadi Luke Zettlemoyer James Henderson Marzieh Saeidi Lambert Mathias Ves Stoyanov Majid Yazdani VLM 176 76 0 03 Apr 2022
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 Archiki Prasad Peter Hase Xiang Zhou Joey Tianyi Zhou 201 146 0 14 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 464 1,775 0 25 Feb 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language PromptsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 567 391 0 02 Feb 2022
Analyzing the Limits of Self-Supervision in Handling Bias in Language Lisa Bauer Karthik Gopalakrishnan Spandana Gella Yang Liu Joey Tianyi Zhou Dilek Z. Hakkani-Tür ELM 170 3 0 16 Dec 2021
True Few-Shot Learning with Prompts -- A Real-World PerspectiveTransactions of the Association for Computational Linguistics (TACL), 2021 Timo Schick Hinrich Schütze VLM 158 74 0 26 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing Surveys (CSUR), 2021 Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 402 1,333 0 01 Nov 2021
Systematic human learning and generalization from a brief tutorial with explanatory feedbackOpen Mind (OM), 2021 A. Nam James L. McClelland 88 3 0 10 Jul 2021