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Larger language models do in-context learning differently

Larger language models do in-context learning differently

7 March 2023
Jerry W. Wei
Jason W. Wei
Yi Tay
Dustin Tran
Albert Webson
Yifeng Lu
Xinyun Chen
Hanxiao Liu
Da Huang
Denny Zhou
Tengyu Ma
    ReLM
    LRM
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Papers citing "Larger language models do in-context learning differently"

50 / 64 papers shown
Title
On the generalization of language models from in-context learning and finetuning: a controlled study
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen
Arslan Chaudhry
Stephanie Chan
Cody Wild
Diane Wan
Alex Ku
Jorg Bornschein
Razvan Pascanu
Murray Shanahan
James L. McClelland
46
0
0
01 May 2025
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
Vishnu Sarukkai
Zhiqiang Xie
Kayvon Fatahalian
LLMAG
68
0
0
01 May 2025
Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
Aaditya K. Singh
Ted Moskovitz
Sara Dragutinovic
Felix Hill
Stephanie C. Y. Chan
Andrew Saxe
94
0
0
07 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
44
0
0
05 Mar 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
Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation
Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation
Songlin Xu
Hao-Ning Wen
Hongyi Pan
Dallas Dominguez
Dongyin Hu
Xinyu Zhang
65
1
0
04 Feb 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
Xinyu Tang
Xiaolei Wang
Wayne Xin Zhao
Siyuan Lu
Yaliang Li
Ji-Rong Wen
LRM
49
13
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
71
0
0
27 Jan 2025
Iterative Tree Analysis for Medical Critics
Iterative Tree Analysis for Medical Critics
Zenan Huang
Mingwei Li
Zheng Zhou
Youxin Jiang
65
0
0
18 Jan 2025
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks
Hamed Firooz
Maziar Sanjabi
Wenlong Jiang
Xiaoling Zhai
63
3
0
03 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
68
38
0
31 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
78
1
0
16 Dec 2024
Teaching VLMs to Localize Specific Objects from In-context Examples
Teaching VLMs to Localize Specific Objects from In-context Examples
Sivan Doveh
Nimrod Shabtay
Wei Lin
Eli Schwartz
Hilde Kuehne
...
Leonid Karlinsky
James Glass
Assaf Arbelle
S. Ullman
Muhammad Jehanzeb Mirza
VLM
96
1
0
20 Nov 2024
Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering
Zeping Yu
Sophia Ananiadou
79
0
0
17 Nov 2024
Smaller Large Language Models Can Do Moral Self-Correction
Smaller Large Language Models Can Do Moral Self-Correction
Guangliang Liu
Zhiyu Xue
Rongrong Wang
K. Johnson
Kristen Marie Johnson
LRM
23
0
0
30 Oct 2024
Toward Understanding In-context vs. In-weight Learning
Toward Understanding In-context vs. In-weight Learning
Bryan Chan
Xinyi Chen
András Gyorgy
Dale Schuurmans
65
3
0
30 Oct 2024
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation
Shota Onohara
Atsuyuki Miyai
Yuki Imajuku
Kazuki Egashira
Jeonghun Baek
Xiang Yue
Graham Neubig
Kiyoharu Aizawa
OSLM
83
1
0
22 Oct 2024
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems
Nan Xu
Xuezhe Ma
LRM
36
3
0
18 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
State-space models can learn in-context by gradient descent
State-space models can learn in-context by gradient descent
Neeraj Mohan Sushma
Yudou Tian
Harshvardhan Mestha
Nicolo Colombo
David Kappel
Anand Subramoney
35
3
0
15 Oct 2024
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies
Jiajie Yu
Yuhong Wang
Wei Ma
OffRL
34
1
0
14 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
46
3
0
06 Oct 2024
In-context Learning in Presence of Spurious Correlations
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
35
1
0
04 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
56
25
0
03 Oct 2024
Multidimensional Human Activity Recognition With Large Language Model: A
  Conceptual Framework
Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework
Syed Mhamudul Hasan
24
0
0
16 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
62
28
0
30 Aug 2024
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
Yongjian Tang
Rakebul Hasan
Thomas Runkler
61
2
0
10 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
32
6
0
01 Jul 2024
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models
Peiqin Lin
André F. T. Martins
Hinrich Schütze
51
2
0
29 Jun 2024
On the Transformations across Reward Model, Parameter Update, and
  In-Context Prompt
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
Deng Cai
Huayang Li
Tingchen Fu
Siheng Li
Weiwen Xu
...
Leyang Cui
Yan Wang
Lemao Liu
Taro Watanabe
Shuming Shi
KELM
26
2
0
24 Jun 2024
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction
William Hogan
Jingbo Shang
13
0
0
31 May 2024
Towards Better Understanding of In-Context Learning Ability from
  In-Context Uncertainty Quantification
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
Shang Liu
Zhongze Cai
Guanting Chen
Xiaocheng Li
UQCV
38
1
0
24 May 2024
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved
  In-Context Learning
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning
Sanchit Sinha
Yuguang Yue
Victor Soto
Mayank Kulkarni
Jianhua Lu
Aidong Zhang
LRM
29
4
0
19 May 2024
SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models
SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models
Bo Lin
Yingjing Xu
Xuanwen Bao
Zhou Zhao
Zuyong Zhang
Zhouyang Wang
57
2
0
23 Apr 2024
Linear Transformers are Versatile In-Context Learners
Linear Transformers are Versatile In-Context Learners
Max Vladymyrov
J. Oswald
Mark Sandler
Rong Ge
24
13
0
21 Feb 2024
Universal Link Predictor By In-Context Learning on Graphs
Universal Link Predictor By In-Context Learning on Graphs
Kaiwen Dong
Haitao Mao
Zhichun Guo
Nitesh V. Chawla
21
4
0
12 Feb 2024
An Information-Theoretic Analysis of In-Context Learning
An Information-Theoretic Analysis of In-Context Learning
Hong Jun Jeon
Jason D. Lee
Qi Lei
Benjamin Van Roy
15
18
0
28 Jan 2024
FlexModel: A Framework for Interpretability of Distributed Large
  Language Models
FlexModel: A Framework for Interpretability of Distributed Large Language Models
Matthew Choi
Muhammad Adil Asif
John Willes
David Emerson
AI4CE
ALM
14
1
0
05 Dec 2023
When does In-context Learning Fall Short and Why? A Study on
  Specification-Heavy Tasks
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
Hao Peng
Xiaozhi Wang
Jianhui Chen
Weikai Li
Y. Qi
...
Zhili Wu
Kaisheng Zeng
Bin Xu
Lei Hou
Juanzi Li
24
27
0
15 Nov 2023
Can Large Language Models Follow Concept Annotation Guidelines? A Case
  Study on Scientific and Financial Domains
Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains
Marcio Fonseca
Shay B. Cohen
ALM
19
6
0
15 Nov 2023
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large
  Language Models in Tabular Classifications
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications
Yanchen Liu
Srishti Gautam
Jiaqi Ma
Himabindu Lakkaraju
LMTD
24
11
0
23 Oct 2023
Mind the instructions: a holistic evaluation of consistency and
  interactions in prompt-based learning
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning
Lucas Weber
Elia Bruni
Dieuwke Hupkes
28
24
0
20 Oct 2023
Unifying Image Processing as Visual Prompting Question Answering
Unifying Image Processing as Visual Prompting Question Answering
Yihao Liu
Xiangyu Chen
Xianzheng Ma
Xintao Wang
Jiantao Zhou
Yu Qiao
Chao Dong
MLLM
22
18
0
16 Oct 2023
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Youliang Yuan
Wenxiang Jiao
Wenxuan Wang
Jen-tse Huang
Pinjia He
Shuming Shi
Zhaopeng Tu
SILM
56
231
0
12 Aug 2023
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language
  Models
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
Cheng-Yu Hsieh
Sibei Chen
Chun-Liang Li
Yasuhisa Fujii
Alexander Ratner
Chen-Yu Lee
Ranjay Krishna
Tomas Pfister
LLMAG
SyDa
29
41
0
01 Aug 2023
FinVis-GPT: A Multimodal Large Language Model for Financial Chart
  Analysis
FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis
Ziao Wang
Yuhang Li
Junda Wu
Jaehyeon Soon
Xiaofeng Zhang
MLLM
17
14
0
31 Jul 2023
In-Context Learning Learns Label Relationships but Is Not Conventional
  Learning
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
Jannik Kossen
Y. Gal
Tom Rainforth
32
27
0
23 Jul 2023
Instruction-following Evaluation through Verbalizer Manipulation
Instruction-following Evaluation through Verbalizer Manipulation
Shiyang Li
Jun Yan
Hai Wang
Zheng Tang
Xiang Ren
Vijay Srinivasan
Hongxia Jin
10
25
0
20 Jul 2023
Personality Traits in Large Language Models
Personality Traits in Large Language Models
Gregory Serapio-García
Mustafa Safdari
Clément Crepy
Luning Sun
Stephen Fitz
P. Romero
Marwa Abdulhai
Aleksandra Faust
Maja J. Matarić
LM&MA
LLMAG
53
118
0
01 Jul 2023
PaLI-X: On Scaling up a Multilingual Vision and Language Model
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Xi Chen
Josip Djolonga
Piotr Padlewski
Basil Mustafa
Soravit Changpinyo
...
Mojtaba Seyedhosseini
A. Angelova
Xiaohua Zhai
N. Houlsby
Radu Soricut
VLM
44
187
0
29 May 2023
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