Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2111.02080
Cited By
v1
v2
v3
v4
v5
v6 (latest)
An Explanation of In-context Learning as Implicit Bayesian Inference
3 November 2021
Sang Michael Xie
Aditi Raghunathan
Percy Liang
Tengyu Ma
ReLM
BDL
VPVLM
LRM
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"An Explanation of In-context Learning as Implicit Bayesian Inference"
50 / 562 papers shown
Title
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
Dong Shu
Haoran Zhao
Xukun Liu
David Demeter
Jundong Li
Yongfeng Zhang
AILaw
ELM
65
13
0
27 Jul 2024
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
Zhuoyan Xu
Zhenmei Shi
Yingyu Liang
CoGe
LRM
77
37
0
22 Jul 2024
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
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
Jixiang Luo
73
0
0
16 Jul 2024
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
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
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
Wai Man Si
Michael Backes
Yang Zhang
73
1
0
09 Jul 2024
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
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
Long Hoang Dang
T. Le
Vuong Le
Tu Minh Phuong
Truyen Tran
ReLM
CoGe
99
3
0
02 Jul 2024
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
Wei Wang
Qing Li
46
0
0
01 Jul 2024
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
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
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?
Simon Goldstein
B. Levinstein
AI4MH
LRM
74
7
0
27 Jun 2024
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
CLL
KELM
92
8
0
26 Jun 2024
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
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
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
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
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
Rima Hazra
Sayan Layek
Somnath Banerjee
Soujanya Poria
KELM
LLMSV
79
13
0
17 Jun 2024
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
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
Michael Franke
Polina Tsvilodub
Fausto Carcassi
87
6
0
13 Jun 2024
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
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
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
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
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
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
Xinhao Yao
Xiaolin Hu
Shenzhi Yang
Yong Liu
89
2
0
06 Jun 2024
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
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
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
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
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
Grzegorz Kaszuba
Amirhossein D. Naghdi
Dario Massa
Stefanos Papanikolaou
Andrzej Jaszkiewicz
Piotr Sankowski
AI4CE
OODD
75
0
0
03 Jun 2024
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
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
Zikun Ye
Hema Yoganarasimhan
Yufeng Zheng
74
6
0
03 Jun 2024
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
Fabian Falck
Ziyu Wang
Chris Holmes
149
20
0
02 Jun 2024
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
Jianliang He
Siyu Chen
Fengzhuo Zhang
Zhuoran Yang
LM&Ro
LLMAG
97
3
0
30 May 2024
Previous
1
2
3
4
5
...
10
11
12
Next