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Can language models learn from explanations in context?
v1v2v3v4 (latest)

Can language models learn from explanations in context?

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
5 April 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
    LRMReLM
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Can language models learn from explanations in context?"

50 / 243 papers shown
Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Models
Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection ModelsComputational Linguistics (CL), 2024
Ivo Verhoeven
Pushkar Mishra
Ekaterina Shutova
330
1
0
12 Oct 2024
Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest
  Models Reward Hack
Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward Hack
Leo McKee-Reid
Christoph Sträter
Maria Angelica Martinez
Joe Needham
Mikita Balesni
OffRL
179
7
0
09 Oct 2024
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple
  Tasks in Superposition
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
Zheyang Xiong
Ziyang Cai
John Cooper
Albert Ge
Vasilis Papageorgiou
...
Saurabh Agarwal
Grigorios G Chrysos
Samet Oymak
Kangwook Lee
Dimitris Papailiopoulos
LRM
274
9
0
08 Oct 2024
Grounding Large Language Models In Embodied Environment With Imperfect
  World Models
Grounding Large Language Models In Embodied Environment With Imperfect World Models
Haolan Liu
Jishen Zhao
LLMAGSyDaAI4CE
242
2
0
03 Oct 2024
Integrating Hierarchical Semantic into Iterative Generation Model for
  Entailment Tree Explanation
Integrating Hierarchical Semantic into Iterative Generation Model for Entailment Tree Explanation
Qin Wang
Jianzhou Feng
Yiming Xu
188
0
0
26 Sep 2024
Finetuning CLIP to Reason about Pairwise Differences
Finetuning CLIP to Reason about Pairwise Differences
Dylan Sam
Devin Willmott
João Dias Semedo
J. Zico Kolter
VLM
361
8
0
15 Sep 2024
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural
  Language
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural LanguageAAAI Conference on Artificial Intelligence (AAAI), 2024
ZHAOYUE SUN
Jiazheng Li
Gabriele Pergola
Yulan He
178
4
0
09 Sep 2024
Is Functional Correctness Enough to Evaluate Code Language Models?
  Exploring Diversity of Generated Codes
Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
Heejae Chon
Seonghyeon Lee
Jinyoung Yeo
Dongha Lee
ALM
239
5
0
24 Aug 2024
MathLearner: A Large Language Model Agent Framework for Learning to
  Solve Mathematical Problems
MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical Problems
Johann Felipe Gonzalez
Donglin Liu
Haoran Yan
Wenjie Wu
Zongyang Liu
LRM
214
3
0
03 Aug 2024
Multilingual Fine-Grained News Headline Hallucination Detection
Multilingual Fine-Grained News Headline Hallucination Detection
Jiaming Shen
Tianqi Liu
Jialu Liu
Zhen Qin
Jay Pavagadhi
Simon Baumgartner
Michael Bendersky
205
0
0
22 Jul 2024
BadRobot: Jailbreaking Embodied LLMs in the Physical World
BadRobot: Jailbreaking Embodied LLMs in the Physical World
Hangtao Zhang
Chenyu Zhu
Xianlong Wang
Ziqi Zhou
Yichen Wang
...
Shengshan Hu
Leo Yu Zhang
Aishan Liu
Peijin Guo
Leo Yu Zhang
LM&Ro
435
2
0
16 Jul 2024
Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
Louis Abraham
Charles Arnal
Antoine Marie
346
2
0
15 Jul 2024
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Catherine Tony
Nicolás E. Díaz Ferreyra
Markus Mutas
Salem Dhiff
Riccardo Scandariato
SILM
432
35
0
09 Jul 2024
Query-Guided Self-Supervised Summarization of Nursing Notes
Query-Guided Self-Supervised Summarization of Nursing Notes
Ya Gao
H. Moen
S. Koivusalo
M. Koskinen
Pekka Marttinen
233
1
0
04 Jul 2024
Building Understandable Messaging for Policy and Evidence Review
  (BUMPER) with AI
Building Understandable Messaging for Policy and Evidence Review (BUMPER) with AI
Katherine A. Rosenfeld
Maike Sonnewald
Sonia J. Jindal
Kevin A. McCarthy
Joshua L. Proctor
208
1
0
27 Jun 2024
"Seeing the Big through the Small": Can LLMs Approximate Human Judgment
  Distributions on NLI from a Few Explanations?
"Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
Beiduo Chen
Xinpeng Wang
Siyao Peng
Robert Litschko
Anna Korhonen
Barbara Plank
248
17
0
25 Jun 2024
Evaluation of Language Models in the Medical Context Under
  Resource-Constrained Settings
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings
Andrea Posada
Daniel Rueckert
Felix Meissen
Philip Muller
LM&MAELM
235
0
0
24 Jun 2024
Improving Expert Radiology Report Summarization by Prompting Large
  Language Models with a Layperson Summary
Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary
Xingmeng Zhao
Tongnian Wang
Anthony Rios
LM&MA
262
4
0
20 Jun 2024
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesInternational Conference on Learning Representations (ICLR), 2024
Zhepei Wei
Wei-Lin Chen
Yu Meng
RALM
603
12
0
19 Jun 2024
Probing the Decision Boundaries of In-context Learning in Large Language
  Models
Probing the Decision Boundaries of In-context Learning in Large Language Models
Siyan Zhao
Tung Nguyen
Aditya Grover
394
19
0
17 Jun 2024
In-Context Learning of Physical Properties: Few-Shot Adaptation to
  Out-of-Distribution Molecular Graphs
In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs
Grzegorz Kaszuba
Amirhossein D. Naghdi
Dario Massa
Stefanos Papanikolaou
Andrzej Jaszkiewicz
Piotr Sankowski
AI4CEOODD
227
1
0
03 Jun 2024
A Multi-Perspective Analysis of Memorization in Large Language Models
A Multi-Perspective Analysis of Memorization in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Bowen Chen
Namgi Han
Yusuke Miyao
336
5
0
19 May 2024
IntelliExplain: Enhancing Interactive Code Generation through Natural
  Language Explanations for Non-Professional Programmers
IntelliExplain: Enhancing Interactive Code Generation through Natural Language Explanations for Non-Professional Programmers
Hao Yan
Thomas D. Latoza
Ziyu Yao
LRM
182
0
0
16 May 2024
Injecting Salesperson's Dialogue Strategies in Large Language Models
  with Chain-of-Thought Reasoning
Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
Wen-Yu Chang
Yun-Nung Chen
310
13
0
29 Apr 2024
A Human-Computer Collaborative Tool for Training a Single Large Language
  Model Agent into a Network through Few Examples
A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples
Lihang Pan
Yuxuan Li
Chun Yu
Yuanchun Shi
LLMAG
196
2
0
24 Apr 2024
Memory Sharing for Large Language Model based Agents
Memory Sharing for Large Language Model based Agents
Hang Gao
Yongfeng Zhang
LLMAG
209
23
0
15 Apr 2024
Improving Language Model Reasoning with Self-motivated Learning
Improving Language Model Reasoning with Self-motivated LearningInternational Conference on Language Resources and Evaluation (LREC), 2024
Yunlong Feng
Yang Xu
Libo Qin
Yasheng Wang
Wanxiang Che
LRMReLM
233
8
0
10 Apr 2024
WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents
WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents
Michael Lutz
Arth Bohra
Manvel Saroyan
Artem Harutyunyan
Giovanni Campagna
LLMAG
196
17
0
08 Apr 2024
AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific
  Research
AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research
Anirban Mukherjee
H. Chang
152
5
0
05 Apr 2024
Can only LLMs do Reasoning?: Potential of Small Language Models in Task
  Planning
Can only LLMs do Reasoning?: Potential of Small Language Models in Task Planning
Gawon Choi
Hyemin Ahn
LM&RoLRM
145
1
0
05 Apr 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption
Deconstructing In-Context Learning: Understanding Prompts via CorruptionInternational Conference on Language Resources and Evaluation (LREC), 2024
Namrata Shivagunde
Vladislav Lialin
Sherin Muckatira
Anna Rumshisky
334
8
0
02 Apr 2024
Towards a Framework for Evaluating Explanations in Automated Fact
  Verification
Towards a Framework for Evaluating Explanations in Automated Fact Verification
Neema Kotonya
Francesca Toni
294
8
0
29 Mar 2024
Towards Multimodal In-Context Learning for Vision & Language Models
Towards Multimodal In-Context Learning for Vision & Language Models
Sivan Doveh
Shaked Perek
M. Jehanzeb Mirza
Wei Lin
Amit Alfassy
Assaf Arbelle
S. Ullman
Leonid Karlinsky
VLM
367
23
0
19 Mar 2024
Interpretable User Satisfaction Estimation for Conversational Systems
  with Large Language Models
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Ying-Chun Lin
Jennifer Neville
Jack W. Stokes
Longqi Yang
Tara Safavi
...
Xia Song
Georg Buscher
Saurabh Tiwary
Brent J. Hecht
J. Teevan
ELM
243
17
0
19 Mar 2024
Quiet-STaR: Language Models Can Teach Themselves to Think Before
  Speaking
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
E. Zelikman
Georges Harik
Yijia Shao
Varuna Jayasiri
Nick Haber
Noah D. Goodman
LLMAGReLMLRM
680
207
0
14 Mar 2024
MedInsight: A Multi-Source Context Augmentation Framework for Generating
  Patient-Centric Medical Responses using Large Language Models
MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models
Subash Neupane
Shaswata Mitra
Sudip Mittal
Noorbakhsh Amiri Golilarz
Shahram Rahimi
Amin Amirlatifi
234
6
0
13 Mar 2024
Causal Prompting: Debiasing Large Language Model Prompting based on
  Front-Door Adjustment
Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment
Congzhi Zhang
Linhai Zhang
Jialong Wu
Deyu Zhou
Guoqiang Xu
CMLAI4CELRM
302
34
0
05 Mar 2024
How to think step-by-step: A mechanistic understanding of
  chain-of-thought reasoning
How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning
Subhabrata Dutta
Joykirat Singh
Soumen Chakrabarti
Tanmoy Chakraborty
LRM
192
48
0
28 Feb 2024
CogBench: a large language model walks into a psychology lab
CogBench: a large language model walks into a psychology lab
Julian Coda-Forno
Marcel Binz
Jane X. Wang
Eric Schulz
ELMALMLLMAGLM&MA
286
55
0
28 Feb 2024
Content-Centric Prototyping of Generative AI Applications: Emerging
  Approaches and Challenges in Collaborative Software Teams
Content-Centric Prototyping of Generative AI Applications: Emerging Approaches and Challenges in Collaborative Software Teams
Hari Subramonyam
Divy Thakkar
Jurgen Dieber
Anoop Sinha
193
1
0
27 Feb 2024
Linguistic Knowledge Can Enhance Encoder-Decoder Models (If You Let It)
Linguistic Knowledge Can Enhance Encoder-Decoder Models (If You Let It)
Alessio Miaschi
F. Dell’Orletta
Giulia Venturi
204
2
0
27 Feb 2024
Look Before You Leap: Problem Elaboration Prompting Improves
  Mathematical Reasoning in Large Language Models
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models
Haoran Liao
Jidong Tian
Shaohua Hu
Hao He
Yaohui Jin
ReLMLRM
219
1
0
24 Feb 2024
Chain of Thought Empowers Transformers to Solve Inherently Serial
  Problems
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Zhiyuan Li
Hong Liu
Denny Zhou
Tengyu Ma
LRMAI4CE
453
208
0
20 Feb 2024
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc
  Explanations
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
Milan Bhan
Jean-Noel Vittaut
Nicolas Chesneau
Marie-Jeanne Lesot
ReLMLRM
419
10
0
19 Feb 2024
Pelican Soup Framework: A Theoretical Framework for Language Model Capabilities
Pelican Soup Framework: A Theoretical Framework for Language Model Capabilities
Ting-Rui Chiang
Dani Yogatama
166
4
0
16 Feb 2024
Inference to the Best Explanation in Large Language Models
Inference to the Best Explanation in Large Language Models
Dhairya Dalal
Marco Valentino
André Freitas
Paul Buitelaar
LRMELM
257
4
0
16 Feb 2024
(Ir)rationality and Cognitive Biases in Large Language Models
(Ir)rationality and Cognitive Biases in Large Language Models
Olivia Macmillan-Scott
Mirco Musolesi
LRM
264
32
0
14 Feb 2024
Large Language Models as Agents in Two-Player Games
Large Language Models as Agents in Two-Player Games
Yang Liu
Yang Liu
Hang Li
LLMAG
180
7
0
12 Feb 2024
GenTranslate: Large Language Models are Generative Multilingual Speech
  and Machine Translators
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine TranslatorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Yuchen Hu
Chen Chen
Chao-Han Huck Yang
Ruizhe Li
Dong Zhang
Zhehuai Chen
Eng Siong Chng
264
36
0
10 Feb 2024
Prompting Implicit Discourse Relation Annotation
Prompting Implicit Discourse Relation Annotation
Frances Yung
Mansoor Ahmad
Merel C. J. Scholman
Vera Demberg
LRM
185
1
0
07 Feb 2024
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