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Rethinking the Role of Demonstrations: What Makes In-Context Learning
  Work?

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

25 February 2022
Sewon Min
Xinxi Lyu
Ari Holtzman
Mikel Artetxe
M. Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
    LLMAG
    LRM
ArXivPDFHTML

Papers citing "Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?"

50 / 141 papers shown
Title
Robust Misinformation Detection by Visiting Potential Commonsense Conflict
Robust Misinformation Detection by Visiting Potential Commonsense Conflict
Bing Wang
Ximing Li
C. Li
Bingrui Zhao
Bo Fu
Renchu Guan
Shengsheng Wang
38
0
0
30 Apr 2025
Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction
Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction
Máté Gedeon
RALM
47
0
0
30 Apr 2025
ICL CIPHERS: Quantifying "Learning'' in In-Context Learning via Substitution Ciphers
ICL CIPHERS: Quantifying "Learning'' in In-Context Learning via Substitution Ciphers
Zhouxiang Fang
Aayush Mishra
Muhan Gao
Anqi Liu
Daniel Khashabi
40
0
0
28 Apr 2025
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
J. Wang
Weili Cao
Kaicheng Wang
Xiaoyue Wang
Ashish Dalvi
...
David E. Neal
Maxim Khan
Christopher D. Rosin
R. Paturi
Leon Bergen
16
0
0
25 Apr 2025
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
Huiyi Chen
Jiawei Peng
Kaihua Tang
Xin Geng
Xu Yang
22
0
0
19 Apr 2025
CoTAL: Human-in-the-Loop Prompt Engineering, Chain-of-Thought Reasoning, and Active Learning for Generalizable Formative Assessment Scoring
CoTAL: Human-in-the-Loop Prompt Engineering, Chain-of-Thought Reasoning, and Active Learning for Generalizable Formative Assessment Scoring
Clayton Cohn
Nicole M. Hutchins
Ashwin T S
Gautam Biswas
LRM
31
0
0
03 Apr 2025
Gricean Norms as a Basis for Effective Collaboration
Gricean Norms as a Basis for Effective Collaboration
Fardin Saad
Pradeep K. Murukannaiah
Munindar P. Singh
54
0
0
18 Mar 2025
M2R-Whisper: Multi-stage and Multi-scale Retrieval Augmentation for Enhancing Whisper
M2R-Whisper: Multi-stage and Multi-scale Retrieval Augmentation for Enhancing Whisper
Jiaming Zhou
S. Zhao
Jiabei He
Hui Wang
Wenjia Zeng
Yong Chen
Haoqin Sun
Aobo Kong
Yong Qin
55
1
0
13 Mar 2025
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Yanshu Li
39
0
0
05 Mar 2025
Large Language Models as Attribution Regularizers for Efficient Model Training
Large Language Models as Attribution Regularizers for Efficient Model Training
Davor Vukadin
Marin Šilić
Goran Delač
31
0
0
27 Feb 2025
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
Ercong Nie
Bo Shao
Zifeng Ding
Mingyang Wang
Helmut Schmid
Hinrich Schütze
KELM
129
7
0
21 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
49
3
0
21 Feb 2025
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao-quan Song
Yufa Zhou
73
17
0
21 Feb 2025
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
Andreas Opedal
Haruki Shirakami
Bernhard Schölkopf
Abulhair Saparov
Mrinmaya Sachan
LRM
52
1
0
17 Feb 2025
LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning
LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning
Tianshi Zheng
Jiayang Cheng
Chunyang Li
Haochen Shi
Z. Wang
Jiaxin Bai
Y. Song
Ginny Y. Wong
Simon See
LRM
46
2
0
16 Feb 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Erik Cambria
LM&MA
AILaw
67
148
0
28 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
H. Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDL
UQLM
95
6
0
28 Jan 2025
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Yutong Yin
Zhaoran Wang
LRM
ReLM
43
0
0
27 Jan 2025
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
C. L. P. Chen
Anirudh Dagar
Wenming Ye
LRM
60
38
0
31 Dec 2024
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
67
4
0
31 Dec 2024
Revisiting In-Context Learning with Long Context Language Models
Revisiting In-Context Learning with Long Context Language Models
Jinheon Baek
Sun Jae Lee
Prakhar Gupta
Geunseob
Oh
Siddharth Dalmia
84
0
0
22 Dec 2024
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
Sepideh Mamooler
Syrielle Montariol
Alexander Mathis
Antoine Bosselut
76
1
0
16 Dec 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Zeyuan Ma
Hongshu Guo
Yue-jiao Gong
Jun Zhang
Kay Chen Tan
92
2
0
01 Nov 2024
Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina
Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina
Yuan Gao
Dokyun Lee
Gordon Burtch
Sina Fazelpour
LRM
38
7
0
25 Oct 2024
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
Georgios Chochlakis
Alexandros Potamianos
Kristina Lerman
Shrikanth Narayanan
25
0
0
17 Oct 2024
In-Context Learning Enables Robot Action Prediction in LLMs
In-Context Learning Enables Robot Action Prediction in LLMs
Yida Yin
Zekai Wang
Yuvan Sharma
Dantong Niu
Trevor Darrell
Roei Herzig
LM&Ro
42
1
0
16 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
Zhengyu Hu
Yichuan Li
Zhengyu Chen
J. Wang
Han Liu
Kyumin Lee
Kaize Ding
GNN
80
1
0
09 Oct 2024
Wrong-of-Thought: An Integrated Reasoning Framework with
  Multi-Perspective Verification and Wrong Information
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information
Yongheng Zhang
Qiguang Chen
Jingxuan Zhou
Peng Wang
Jiasheng Si
Jin Wang
Wenpeng Lu
Libo Qin
LRM
36
3
0
06 Oct 2024
On the Influence of Gender and Race in Romantic Relationship Prediction
  from Large Language Models
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models
Abhilasha Sancheti
Haozhe An
Rachel Rudinger
20
0
0
05 Oct 2024
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
Howard Yen
Tianyu Gao
Minmin Hou
Ke Ding
Daniel Fleischer
Peter Izsak
Moshe Wasserblat
Danqi Chen
ALM
ELM
43
24
0
03 Oct 2024
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Ameen Ali
Lior Wolf
Ivan Titov
16
2
0
02 Oct 2024
PersonalLLM: Tailoring LLMs to Individual Preferences
PersonalLLM: Tailoring LLMs to Individual Preferences
Thomas P. Zollo
Andrew Siah
Naimeng Ye
Ang Li
Hongseok Namkoong
30
10
0
30 Sep 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems
MILE: A Mutation Testing Framework of In-Context Learning Systems
Zeming Wei
Yihao Zhang
Meng Sun
32
0
0
07 Sep 2024
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis
  with Coarse-to-Fine In-context Learning
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning
Senbin Zhu
Hanjie Zhao
Xingren Wang
Shanhong Liu
Yuxiang Jia
Hongying Zan
23
1
0
22 Jul 2024
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
Nan Xu
Fei Wang
Sheng Zhang
Hoifung Poon
Muhao Chen
29
6
0
01 Jul 2024
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language
  Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Mohammed Elhenawy
Ahmad Abutahoun
Taqwa I. Alhadidi
Ahmed Jaber
Huthaifa I. Ashqar
Shadi Jaradat
Ahmed Abdelhay
Sébastien Glaser
A. Rakotonirainy
LLMAG
LRM
18
12
0
26 Jun 2024
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
Yash Akhauri
Ahmed F. AbouElhamayed
Jordan Dotzel
Zhiru Zhang
Alexander M Rush
Safeen Huda
Mohamed S. Abdelfattah
11
2
0
24 Jun 2024
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
Yaojie Hu
Ilias Fountalis
Jin Tian
N. Vasiloglou
LMTD
18
3
0
24 Jun 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning
Token-based Decision Criteria Are Suboptimal in In-context Learning
Hakaze Cho
Yoshihiro Sakai
Mariko Kato
Kenshiro Tanaka
Akira Ishii
Naoya Inoue
27
2
0
24 Jun 2024
ESC-Eval: Evaluating Emotion Support Conversations in Large Language
  Models
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models
Haiquan Zhao
Lingyu Li
Shisong Chen
Shuqi Kong
Jiaan Wang
...
Dandan Liang
Zhixu Li
Yan Teng
Yanghua Xiao
Yingchun Wang
ELM
LLMAG
23
3
0
21 Jun 2024
Factual Dialogue Summarization via Learning from Large Language Models
Factual Dialogue Summarization via Learning from Large Language Models
Rongxin Zhu
Jey Han Lau
Jianzhong Qi
HILM
30
1
0
20 Jun 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context
  Alignment
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
Heyan Huang
Yinghao Li
Huashan Sun
Yu Bai
Yang Gao
33
3
0
17 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Subhojyoti Mukherjee
Josiah P. Hanna
Qiaomin Xie
Robert Nowak
50
2
0
07 Jun 2024
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Hao Zhao
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
52
12
0
30 May 2024
Implicit In-context Learning
Implicit In-context Learning
Zhuowei Li
Zihao Xu
Ligong Han
Yunhe Gao
Song Wen
Di Liu
Hao Wang
Dimitris N. Metaxas
32
1
0
23 May 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer
  Selection in Large Language Models
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
Zhangyue Yin
Qiushi Sun
Qipeng Guo
Zhiyuan Zeng
Xiaonan Li
...
Qinyuan Cheng
Ding Wang
Xiaofeng Mou
Xipeng Qiu
XuanJing Huang
LRM
32
3
0
21 May 2024
Large Language Models Meet NLP: A Survey
Large Language Models Meet NLP: A Survey
Libo Qin
Qiguang Chen
Xiachong Feng
Yang Wu
Yongheng Zhang
Yinghui Li
Min Li
Wanxiang Che
Philip S. Yu
ALM
LM&MA
ELM
LRM
38
44
0
21 May 2024
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language
  Models
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
Wenqi Fan
Yujuan Ding
Liang-bo Ning
Shijie Wang
Hengyun Li
Dawei Yin
Tat-Seng Chua
Qing Li
RALM
3DV
35
178
0
10 May 2024
SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for
  Sexual Education in Rural India
SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India
Salam Michael Singh
Shubhmoy Kumar Garg
Amitesh Misra
Aaditeshwar Seth
Tanmoy Chakraborty
23
0
0
03 May 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch
Maor Ivgi
Uri Alon
Jonathan Berant
Matthew R. Gormley
Matthew R. Gormley
Graham Neubig
ReLM
AIMat
75
64
0
30 Apr 2024
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