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An Explanation of In-context Learning as Implicit Bayesian Inference
v1v2v3v4v5v6 (latest)

An Explanation of In-context Learning as Implicit Bayesian Inference

3 November 2021
Sang Michael Xie
Aditi Raghunathan
Percy Liang
Tengyu Ma
    ReLMBDLVPVLMLRM
ArXiv (abs)PDFHTML

Papers citing "An Explanation of In-context Learning as Implicit Bayesian Inference"

50 / 562 papers shown
Title
Spin glass model of in-context learning
Spin glass model of in-context learning
Yuhao Li
Ruoran Bai
Haiping Huang
LRM
143
0
0
05 Aug 2024
LawLLM: Law Large Language Model for the US Legal System
LawLLM: Law Large Language Model for the US Legal System
Dong Shu
Haoran Zhao
Xukun Liu
David Demeter
Jundong Li
Yongfeng Zhang
AILawELM
65
13
0
27 Jul 2024
Large Language Models for Human-like Autonomous Driving: A Survey
Large Language Models for Human-like Autonomous Driving: A Survey
Yun Li
Kai Katsumata
Ehsan Javanmardi
Manabu Tsukada
LM&MA
88
11
0
27 Jul 2024
Do Large Language Models Have Compositional Ability? An Investigation
  into Limitations and Scalability
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability
Zhuoyan Xu
Zhenmei Shi
Yingyu Liang
CoGeLRM
77
37
0
22 Jul 2024
Empirical Capacity Model for Self-Attention Neural Networks
Empirical Capacity Model for Self-Attention Neural Networks
Aki Härmä
M. Pietrasik
Anna Wilbik
73
2
0
22 Jul 2024
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal
  Mechanisms and the Superficial Hypothesis
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis
Guang-Da Liu
Haitao Mao
Jiliang Tang
K. Johnson
LRM
95
8
0
21 Jul 2024
Rethinking Learned Image Compression: Context is All You Need
Rethinking Learned Image Compression: Context is All You Need
Jixiang Luo
73
0
0
16 Jul 2024
Representing Rule-based Chatbots with Transformers
Representing Rule-based Chatbots with Transformers
Dan Friedman
Abhishek Panigrahi
Danqi Chen
156
1
0
15 Jul 2024
Fine-grained Analysis of In-context Linear Estimation: Data,
  Architecture, and Beyond
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
Yingcong Li
A. S. Rawat
Samet Oymak
69
8
0
13 Jul 2024
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in
  LLM-Empowered Autonomous Agents
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents
Haoyi Xiong
Zhiyuan Wang
Xuhong Li
Jiang Bian
Zeke Xie
Shahid Mumtaz
Laura E. Barnes
LLMAG
116
8
0
11 Jul 2024
ICLGuard: Controlling In-Context Learning Behavior for Applicability
  Authorization
ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization
Wai Man Si
Michael Backes
Yang Zhang
73
1
0
09 Jul 2024
Enhancing Language Model Rationality with Bi-Directional Deliberation
  Reasoning
Enhancing Language Model Rationality with Bi-Directional Deliberation Reasoning
Yadong Zhang
Shaoguang Mao
Wenshan Wu
Yan Xia
Tao Ge
Man Lan
Furu Wei
75
3
0
08 Jul 2024
Why does in-context learning fail sometimes? Evaluating in-context
  learning on open and closed questions
Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions
Xiang Li
Haoran Tang
Siyu Chen
Ziwei Wang
Ryan Chen
Marcin Abram
LRM
106
4
0
02 Jul 2024
SADL: An Effective In-Context Learning Method for Compositional Visual
  QA
SADL: An Effective In-Context Learning Method for Compositional Visual QA
Long Hoang Dang
T. Le
Vuong Le
Tu Minh Phuong
Truyen Tran
ReLMCoGe
99
3
0
02 Jul 2024
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought:
  Probability, Memorization, and Noisy Reasoning
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
Akshara Prabhakar
Thomas Griffiths
R. Thomas McCoy
LRM
99
20
0
01 Jul 2024
Universal Approximation Theory: The Basic Theory for Transformer-based
  Large Language Models
Universal Approximation Theory: The Basic Theory for Transformer-based Large Language Models
Wei Wang
Qing Li
46
0
0
01 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
139
7
0
01 Jul 2024
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert
  Prompts
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
Ruochen Wang
Sohyun An
Minhao Cheng
Tianyi Zhou
Sung Ju Hwang
Cho-Jui Hsieh
73
9
0
28 Jun 2024
When Search Engine Services meet Large Language Models: Visions and
  Challenges
When Search Engine Services meet Large Language Models: Visions and Challenges
Haoyi Xiong
Jiang Bian
Yuchen Li
Xuhong Li
Jundong Li
Shuaiqiang Wang
Dawei Yin
Sumi Helal
135
36
0
28 Jun 2024
Does ChatGPT Have a Mind?
Does ChatGPT Have a Mind?
Simon Goldstein
B. Levinstein
AI4MHLRM
74
7
0
27 Jun 2024
Do LLMs dream of elephants (when told not to)? Latent concept
  association and associative memory in transformers
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
Yibo Jiang
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
CLLKELM
92
8
0
26 Jun 2024
Towards Probing Speech-Specific Risks in Large Multimodal Models: A
  Taxonomy, Benchmark, and Insights
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights
Hao Yang
Zhuang Li
Ehsan Shareghi
Gholamreza Haffari
72
0
0
25 Jun 2024
Distributed Rule Vectors is A Key Mechanism in Large Language Models'
  In-Context Learning
Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning
Bowen Zheng
Ming Ma
Zhongqiao Lin
Tianming Yang
68
2
0
23 Jun 2024
Understanding the Role of User Profile in the Personalization of Large
  Language Models
Understanding the Role of User Profile in the Personalization of Large Language Models
Bin Wu
Zhengyan Shi
Hossein A. Rahmani
Varsha Ramineni
Emine Yilmaz
108
5
0
22 Jun 2024
ICLEval: Evaluating In-Context Learning Ability of Large Language Models
ICLEval: Evaluating In-Context Learning Ability of Large Language Models
Wentong Chen
Yankai Lin
ZhenHao Zhou
HongYun Huang
Yantao Jia
Bo Zhao
Ji-Rong Wen
ELM
79
4
0
21 Jun 2024
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning
Lijie Hu
Liang Liu
Shu Yang
Xin Chen
Hongru Xiao
Mengdi Li
Pan Zhou
Muhammad Asif Ali
Di Wang
LRM
148
7
0
18 Jun 2024
Safety Arithmetic: A Framework for Test-time Safety Alignment of
  Language Models by Steering Parameters and Activations
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
Rima Hazra
Sayan Layek
Somnath Banerjee
Soujanya Poria
KELMLLMSV
79
13
0
17 Jun 2024
Efficient Sequential Decision Making with Large Language Models
Efficient Sequential Decision Making with Large Language Models
Dingyang Chen
Qi Zhang
Yinglun Zhu
LRM
98
4
0
17 Jun 2024
Learning from Natural Language Explanations for Generalizable Entity
  Matching
Learning from Natural Language Explanations for Generalizable Entity Matching
Somin Wadhwa
Adit Krishnan
Runhui Wang
Byron C. Wallace
Chris Kong
LRM
74
5
0
13 Jun 2024
Bayesian Statistical Modeling with Predictors from LLMs
Bayesian Statistical Modeling with Predictors from LLMs
Michael Franke
Polina Tsvilodub
Fausto Carcassi
87
6
0
13 Jun 2024
Estimating the Hallucination Rate of Generative AI
Estimating the Hallucination Rate of Generative AI
Andrew Jesson
Nicolas Beltran-Velez
Quentin Chu
Sweta Karlekar
Jannik Kossen
Yarin Gal
John P. Cunningham
David M. Blei
118
12
0
11 Jun 2024
AIM: Let Any Multi-modal Large Language Models Embrace Efficient
  In-Context Learning
AIM: Let Any Multi-modal Large Language Models Embrace Efficient In-Context Learning
Jun Gao
Qian Qiao
Ziqiang Cao
Zili Wang
Wenjie Li
80
3
0
11 Jun 2024
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout
  Constraint Generation
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
Guojin Chen
Keren Zhu
Seunggeun Kim
Hanqing Zhu
Yao Lai
Bei Yu
David Z. Pan
70
8
0
07 Jun 2024
On Subjective Uncertainty Quantification and Calibration in Natural
  Language Generation
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
Ziyu Wang
Chris Holmes
UQLM
162
7
0
07 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
252
2
0
07 Jun 2024
What Do Language Models Learn in Context? The Structured Task Hypothesis
What Do Language Models Learn in Context? The Structured Task Hypothesis
Jiaoda Li
Buse Giledereli
Mrinmaya Sachan
Ryan Cotterell
LRM
95
8
0
06 Jun 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight
  Pruning: A Theoretical Perspective
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
Xinhao Yao
Xiaolin Hu
Shenzhi Yang
Yong Liu
89
2
0
06 Jun 2024
What Should Embeddings Embed? Autoregressive Models Represent Latent
  Generating Distributions
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions
Liyi Zhang
Michael Y. Li
Thomas Griffiths
72
3
0
06 Jun 2024
Exact Conversion of In-Context Learning to Model Weights in
  Linearized-Attention Transformers
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
Brian K Chen
Tianyang Hu
Hui Jin
Hwee Kuan Lee
Kenji Kawaguchi
88
1
0
05 Jun 2024
On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and
  Latent Concept
On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept
Guangliang Liu
Haitao Mao
Bochuan Cao
Zhiyu Xue
K. Johnson
Jiliang Tang
Rongrong Wang
LRM
105
10
0
04 Jun 2024
Iteration Head: A Mechanistic Study of Chain-of-Thought
Iteration Head: A Mechanistic Study of Chain-of-Thought
Vivien A. Cabannes
Charles Arnal
Wassim Bouaziz
Alice Yang
Francois Charton
Julia Kempe
LRM
105
12
0
04 Jun 2024
Eliciting the Priors of Large Language Models using Iterated In-Context
  Learning
Eliciting the Priors of Large Language Models using Iterated In-Context Learning
Jian-Qiao Zhu
Thomas Griffiths
BDL
85
10
0
04 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
75
0
0
03 Jun 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models
Universal In-Context Approximation By Prompting Fully Recurrent Models
Aleksandar Petrov
Tom A. Lamb
Alasdair Paren
Philip Torr
Adel Bibi
LRM
49
0
0
03 Jun 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Zitao Song
Chao Yang
Chaojie Wang
Bo An
Shuang Li
125
7
0
03 Jun 2024
LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments
LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments
Zikun Ye
Hema Yoganarasimhan
Yufeng Zheng
74
6
0
03 Jun 2024
Guiding ChatGPT to Generate Salient Domain Summaries
Guiding ChatGPT to Generate Salient Domain Summaries
Jun Gao
Ziqiang Cao
Shaoyao Huang
Luozheng Qin
Chunhui Ai
105
1
0
03 Jun 2024
Is In-Context Learning in Large Language Models Bayesian? A Martingale
  Perspective
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
Fabian Falck
Ziyu Wang
Chris Holmes
149
20
0
02 Jun 2024
Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries
Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries
Jiahao Yu
Haozheng Luo
Jerry Yao-Chieh Hu
Wenbo Guo
Han Liu
Xinyu Xing
106
21
0
31 May 2024
From Words to Actions: Unveiling the Theoretical Underpinnings of
  LLM-Driven Autonomous Systems
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
Jianliang He
Siyu Chen
Fengzhuo Zhang
Zhuoran Yang
LM&RoLLMAG
97
3
0
30 May 2024
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