ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.02329
  4. Cited By
Can language models learn from explanations in context?

Can language models learn from explanations in context?

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
    LRM
    ReLM
ArXivPDFHTML

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

50 / 215 papers shown
Title
Bringing Structure to Naturalness: On the Naturalness of ASTs
Bringing Structure to Naturalness: On the Naturalness of ASTs
Profir-Petru Pârţachi
Mahito Sugiyama
25
0
0
11 Apr 2025
On the Connection Between Diffusion Models and Molecular Dynamics
On the Connection Between Diffusion Models and Molecular Dynamics
Liam Harcombe
Timothy T. Duignan
DiffM
43
0
0
04 Apr 2025
FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics
FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics
Yixuan Li
Yu Tian
Yipo Huang
Wei Lu
Shiqi Wang
Weisi Lin
Anderson de Rezende Rocha
54
0
0
31 Mar 2025
Resonance: Drawing from Memories to Imagine Positive Futures through AI-Augmented Journaling
Resonance: Drawing from Memories to Imagine Positive Futures through AI-Augmented Journaling
W. Zulfikar
Treyden Chiaravalloti
J. Shen
Rosalind W. Picard
Pattie Maes
37
0
0
31 Mar 2025
Hacia la interpretabilidad de la detección anticipada de riesgos de depresión utilizando grandes modelos de lenguaje
Hacia la interpretabilidad de la detección anticipada de riesgos de depresión utilizando grandes modelos de lenguaje
Horacio Thompson
Maximiliano Sapino
Edgardo Ferretti
M. Errecalde
46
0
0
26 Mar 2025
Exploring the Reliability of Self-explanation and its Relationship with Classification in Language Model-driven Financial Analysis
Exploring the Reliability of Self-explanation and its Relationship with Classification in Language Model-driven Financial Analysis
Han Yuan
Li Zhang
Zheng Ma
98
0
0
20 Mar 2025
Visualizing Thought: Conceptual Diagrams Enable Robust Planning in LMMs
Visualizing Thought: Conceptual Diagrams Enable Robust Planning in LMMs
Nasim Borazjanizadeh
Roei Herzig
Eduard Oks
Trevor Darrell
Rogerio Feris
Leonid Karlinsky
LRM
56
0
0
14 Mar 2025
Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs
Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs
Jungsoo Park
Junmo Kang
Gabriel Stanovsky
Alan Ritter
52
0
0
26 Feb 2025
Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices
Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices
Xinru Wang
Mengjie Yu
Hannah Nguyen
Michael Iuzzolino
Tianyi Wang
...
Ting Zhang
Naveen Sendhilnathan
Hrvoje Benko
Haijun Xia
Tanya R. Jonker
48
0
0
26 Feb 2025
Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction
Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction
Jingheng Ye
Shang Qin
Yinghui Li
Hai-Tao Zheng
Shen Wang
Qingsong Wen
52
0
0
24 Feb 2025
Vector-ICL: In-context Learning with Continuous Vector Representations
Vector-ICL: In-context Learning with Continuous Vector Representations
Yufan Zhuang
Chandan Singh
Liyuan Liu
Jingbo Shang
Jianfeng Gao
52
3
0
21 Feb 2025
Can AI Examine Novelty of Patents?: Novelty Evaluation Based on the Correspondence between Patent Claim and Prior Art
Can AI Examine Novelty of Patents?: Novelty Evaluation Based on the Correspondence between Patent Claim and Prior Art
Hayato Ikoma
Teruko Mitamura
AAML
ELM
85
0
0
10 Feb 2025
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Tejas Deshpande
Nidhi Kowtal
Raviraj Joshi
LRM
47
1
0
31 Dec 2024
C3oT: Generating Shorter Chain-of-Thought without Compromising
  Effectiveness
C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness
Yu Kang
Xianghui Sun
Liangyu Chen
Wei Zou
LRM
72
18
0
16 Dec 2024
Mitigating Biases to Embrace Diversity: A Comprehensive Annotation
  Benchmark for Toxic Language
Mitigating Biases to Embrace Diversity: A Comprehensive Annotation Benchmark for Toxic Language
Xinmeng Hou
19
1
0
17 Oct 2024
Open Domain Question Answering with Conflicting Contexts
Open Domain Question Answering with Conflicting Contexts
Siyi Liu
Qiang Ning
Kishaloy Halder
Wei Xiao
Zheng Qi
...
Yi Zhang
Neha Anna John
Bonan Min
Yassine Benajiba
Dan Roth
LLMAG
63
2
0
16 Oct 2024
Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution
  Generalisation of Misinformation Detection Models
Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalisation of Misinformation Detection Models
Ivo Verhoeven
Pushkar Mishra
Ekaterina Shutova
18
0
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
25
1
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
27
1
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
LLMAG
SyDa
AI4CE
28
0
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
19
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
56
3
0
15 Sep 2024
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural
  Language
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
ZHAOYUE SUN
Jiazheng Li
Gabriele Pergola
Yulan He
17
0
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
15
1
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
42
1
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
33
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
40
6
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
55
1
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
64
9
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
37
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
16
0
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
25
6
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&MA
ELM
29
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
44
0
0
20 Jun 2024
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
Zhepei Wei
Wei-Lin Chen
Yu Meng
RALM
53
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
32
6
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
AI4CE
OODD
35
0
0
03 Jun 2024
A Multi-Perspective Analysis of Memorization in Large Language Models
A Multi-Perspective Analysis of Memorization in Large Language Models
Bowen Chen
Namgi Han
Yusuke Miyao
38
1
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
33
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
26
6
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
38
1
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
36
7
0
15 Apr 2024
Improving Language Model Reasoning with Self-motivated Learning
Improving Language Model Reasoning with Self-motivated Learning
Yunlong Feng
Yang Xu
Libo Qin
Yasheng Wang
Wanxiang Che
LRM
ReLM
29
7
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
30
13
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
33
4
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&Ro
LRM
24
1
0
05 Apr 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption
Deconstructing In-Context Learning: Understanding Prompts via Corruption
Namrata Shivagunde
Vladislav Lialin
Sherin Muckatira
Anna Rumshisky
26
2
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
17
5
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
110
13
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 Models
Ying-Chun Lin
Jennifer Neville
Jack W. Stokes
Longqi Yang
Tara Safavi
...
Xia Song
Georg Buscher
Saurabh Tiwary
Brent J. Hecht
J. Teevan
ELM
66
7
0
19 Mar 2024
12345
Next