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. 2111.02080
  4. Cited By
An Explanation of In-context Learning as Implicit Bayesian Inference

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
ArXivPDFHTML

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

50 / 531 papers shown
Title
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
Zehong Wang
Zheyuan Zhang
Tianyi Ma
Nitesh V. Chawla
Chuxu Zhang
Yanfang Ye
AI4CE
71
0
0
21 Dec 2024
Enriching Social Science Research via Survey Item Linking
Enriching Social Science Research via Survey Item Linking
Tornike Tsereteli
Daniel Ruffinelli
Simone Paolo Ponzetto
LRM
70
0
0
20 Dec 2024
Understanding Knowledge Hijack Mechanism in In-context Learning through
  Associative Memory
Understanding Knowledge Hijack Mechanism in In-context Learning through Associative Memory
Shuo Wang
Issei Sato
69
0
0
16 Dec 2024
Rank It, Then Ask It: Input Reranking for Maximizing the Performance of
  LLMs on Symmetric Tasks
Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks
Mohsen Dehghankar
Abolfazl Asudeh
61
1
0
30 Nov 2024
Selective Attention: Enhancing Transformer through Principled Context
  Control
Selective Attention: Enhancing Transformer through Principled Context Control
Xuechen Zhang
Xiangyu Chang
Mingchen Li
A. Roy-Chowdhury
J. Chen
Samet Oymak
62
2
0
19 Nov 2024
Re-examining learning linear functions in context
Omar Naim
Guilhem Fouilhé
Nicholas Asher
63
0
0
18 Nov 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
Zihao Li
Yuan Cao
Cheng Gao
Yihan He
Han Liu
Jason M. Klusowski
Jianqing Fan
Mengdi Wang
MLT
47
6
0
16 Nov 2024
IntentGPT: Few-shot Intent Discovery with Large Language Models
IntentGPT: Few-shot Intent Discovery with Large Language Models
Juan A. Rodriguez
Nicholas Botzer
David Vazquez
Christopher Pal
M. Pedersoli
I. Laradji
VLM
68
2
0
16 Nov 2024
A Practical Guide to Fine-tuning Language Models with Limited Data
A Practical Guide to Fine-tuning Language Models with Limited Data
Márton Szép
Daniel Rueckert
Rüdiger von Eisenhart-Rothe
Florian Hinterwimmer
SyDa
ALM
42
2
0
14 Nov 2024
Can Custom Models Learn In-Context? An Exploration of Hybrid
  Architecture Performance on In-Context Learning Tasks
Can Custom Models Learn In-Context? An Exploration of Hybrid Architecture Performance on In-Context Learning Tasks
Ryan Campbell
Nelson Lojo
Kesava Viswanadha
Christoffer Grondal Tryggestad
Derrick Han Sun
Sriteja Vijapurapu
August Rolfsen
Anant Sahai
16
0
0
06 Nov 2024
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
Kiran Purohit
Venktesh V
Raghuram Devalla
Krishna Mohan Yerragorla
Sourangshu Bhattacharya
Avishek Anand
LRM
27
1
0
06 Nov 2024
Fair In-Context Learning via Latent Concept Variables
Fair In-Context Learning via Latent Concept Variables
Karuna Bhaila
Minh-Hao Van
Kennedy Edemacu
Chen Zhao
Feng Chen
Xintao Wu
24
0
0
04 Nov 2024
Comparative Analysis of Demonstration Selection Algorithms for LLM
  In-Context Learning
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning
Dong Shu
Mengnan Du
35
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
On the Role of Depth and Looping for In-Context Learning with Task
  Diversity
On the Role of Depth and Looping for In-Context Learning with Task Diversity
Khashayar Gatmiry
Nikunj Saunshi
Sashank J. Reddi
Stefanie Jegelka
Sanjiv Kumar
22
2
0
29 Oct 2024
CFSafety: Comprehensive Fine-grained Safety Assessment for LLMs
CFSafety: Comprehensive Fine-grained Safety Assessment for LLMs
Zhihao Liu
Chenhui Hu
ALM
ELM
18
1
0
29 Oct 2024
Random Policy Enables In-Context Reinforcement Learning within Trust Horizons
Random Policy Enables In-Context Reinforcement Learning within Trust Horizons
Weiqin Chen
Santiago Paternain
OffRL
35
0
0
25 Oct 2024
LanFL: Differentially Private Federated Learning with Large Language
  Models using Synthetic Samples
LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples
Huiyu Wu
Diego Klabjan
FedML
33
0
0
24 Oct 2024
Bayesian scaling laws for in-context learning
Bayesian scaling laws for in-context learning
Aryaman Arora
Dan Jurafsky
Christopher Potts
Noah D. Goodman
24
2
0
21 Oct 2024
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced
  Extrapolation in LLMs
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
Xin Ma
Yang Liu
J. Liu
Xiaoxu Ma
11
1
0
21 Oct 2024
Bayesian Concept Bottleneck Models with LLM Priors
Bayesian Concept Bottleneck Models with LLM Priors
Jean Feng
Avni Kothari
Luke Zier
Chandan Singh
Yan Shuo Tan
13
2
0
21 Oct 2024
Make LLMs better zero-shot reasoners: Structure-orientated autonomous
  reasoning
Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning
Pengfei He
Zitao Li
Yue Xing
Yaling Li
Jiliang Tang
Bolin Ding
LLMAG
LRM
27
1
0
18 Oct 2024
In-context learning and Occam's razor
In-context learning and Occam's razor
Eric Elmoznino
Tom Marty
Tejas Kasetty
Léo Gagnon
Sarthak Mittal
Mahan Fathi
Dhanya Sridhar
Guillaume Lajoie
32
1
0
17 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
On the Training Convergence of Transformers for In-Context
  Classification
On the Training Convergence of Transformers for In-Context Classification
Wei Shen
Ruida Zhou
Jing Yang
Cong Shen
18
3
0
15 Oct 2024
Cognitive Overload Attack:Prompt Injection for Long Context
Cognitive Overload Attack:Prompt Injection for Long Context
Bibek Upadhayay
Vahid Behzadan
Amin Karbasi
AAML
28
2
0
15 Oct 2024
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bo Chen
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
83
19
0
15 Oct 2024
Inference and Verbalization Functions During In-Context Learning
Inference and Verbalization Functions During In-Context Learning
Junyi Tao
Xiaoyin Chen
Nelson F. Liu
ReLM
LRM
16
0
0
12 Oct 2024
VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis
VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis
Andrew Hoopes
V. Butoi
John Guttag
Adrian V. Dalca
MedIm
LM&MA
35
1
0
10 Oct 2024
Can Looped Transformers Learn to Implement Multi-step Gradient Descent
  for In-context Learning?
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
Khashayar Gatmiry
Nikunj Saunshi
Sashank J. Reddi
Stefanie Jegelka
Sanjiv Kumar
67
17
0
10 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
107
1
0
09 Oct 2024
Copiloting Diagnosis of Autism in Real Clinical Scenarios via LLMs
Copiloting Diagnosis of Autism in Real Clinical Scenarios via LLMs
Yi Jiang
Qingyang Shen
Shuzhong Lai
Shunyu Qi
Qian Zheng
Lin Yao
Yueming Wang
Gang Pan
18
1
0
08 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
22
1
0
08 Oct 2024
Transformers learn variable-order Markov chains in-context
Transformers learn variable-order Markov chains in-context
Ruida Zhou
C. Tian
Suhas Diggavi
23
0
0
07 Oct 2024
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Toni J. B. Liu
Nicolas Boullé
Raphael Sarfati
Christopher Earls
20
0
0
07 Oct 2024
Task Diversity Shortens the ICL Plateau
Task Diversity Shortens the ICL Plateau
Jaeyeon Kim
Sehyun Kwon
Joo Young Choi
Jongho Park
Jaewoong Cho
Jason D. Lee
Ernest K. Ryu
MoMe
29
2
0
07 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
44
3
0
06 Oct 2024
Simplicity bias and optimization threshold in two-layer ReLU networks
Simplicity bias and optimization threshold in two-layer ReLU networks
Etienne Boursier
Nicolas Flammarion
24
2
0
03 Oct 2024
Large Language Models as Markov Chains
Large Language Models as Markov Chains
Oussama Zekri
Ambroise Odonnat
Abdelhakim Benechehab
Linus Bleistein
Nicolas Boullé
I. Redko
34
9
0
03 Oct 2024
Bayes' Power for Explaining In-Context Learning Generalizations
Bayes' Power for Explaining In-Context Learning Generalizations
Samuel G. Müller
Noah Hollmann
Frank Hutter
BDL
29
1
0
02 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
27
2
0
02 Oct 2024
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
Michael A. Lepori
Michael Mozer
Asma Ghandeharioun
LRM
80
1
0
02 Oct 2024
Are Large Language Models In-Context Personalized Summarizers? Get an
  iCOPERNICUS Test Done!
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!
Divya Patel
Pathik Patel
Ankush Chander
Sourish Dasgupta
Tanmoy Chakraborty
16
1
0
30 Sep 2024
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot
  Decision Tree Induction and Embedding with Large Language Models
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models
Ricardo Knauer
Mario Koddenbrock
Raphael Wallsberger
Nicholas M. Brisson
Georg N. Duda
Deborah Falla
David W. Evans
Erik Rodner
33
0
0
27 Sep 2024
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous
  Spatial Reasoning?
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?
Bowen Zhao
Leo Parker Dirac
Paulina Varshavskaya
VLM
LRM
11
0
0
25 Sep 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
37
4
0
24 Sep 2024
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors
  in Pretrained Language Models
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
Pengrui Han
Peiyang Song
Haofei Yu
Jiaxuan You
ReLM
LRM
21
1
0
23 Sep 2024
Provable In-Context Learning of Linear Systems and Linear Elliptic PDEs
  with Transformers
Provable In-Context Learning of Linear Systems and Linear Elliptic PDEs with Transformers
Frank Cole
Yulong Lu
Riley OÑeill
Tianhao Zhang
34
2
0
18 Sep 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
Meta-Whisper: Speech-Based Meta-ICL for ASR on Low-Resource Languages
Meta-Whisper: Speech-Based Meta-ICL for ASR on Low-Resource Languages
Ming-Hao Hsu
Kuan Po Huang
Hung-yi Lee
25
0
0
16 Sep 2024
Previous
12345...91011
Next