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2111.02080
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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
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Papers citing
"An Explanation of In-context Learning as Implicit Bayesian Inference"
50 / 531 papers shown
Title
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences
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In-Context Learning through the Bayesian Prism
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On Masked Pre-training and the Marginal Likelihood
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Pol G. Recasens
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Transformers learn to implement preconditioned gradient descent for in-context learning
Kwangjun Ahn
Xiang Cheng
Hadi Daneshmand
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01 Jun 2023
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
Yufeng Zhang
Fengzhuo Zhang
Zhuoran Yang
Zhaoran Wang
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36
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0
30 May 2023
Contextual Vision Transformers for Robust Representation Learning
Yu Bao
Theofanis Karaletsos
ViT
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Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
Yingcong Li
Kartik K. Sreenivasan
Angeliki Giannou
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8
16
0
30 May 2023
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback
Shengchao Liu
Jiong Wang
Yijin Yang
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Ling Liu
Hongyu Guo
Chaowei Xiao
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26
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29 May 2023
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models
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Michihiro Yasunaga
Zhengping Zhou
Jeff Z. HaoChen
James Y. Zou
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Serena Yeung
25
7
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27 May 2023
Im-Promptu: In-Context Composition from Image Prompts
Bhishma Dedhia
Michael Chang
Jake C. Snell
Thomas L. Griffiths
N. Jha
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22
1
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A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks
Jacob D. Abernethy
Alekh Agarwal
T. V. Marinov
Manfred K. Warmuth
8
17
0
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A Closer Look at In-Context Learning under Distribution Shifts
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David Lopez-Paz
24
14
0
26 May 2023
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
Guhao Feng
Bohang Zhang
Yuntian Gu
Haotian Ye
Di He
Liwei Wang
LRM
27
210
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Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
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Richard Yuanzhe Pang
Vishakh Padmakumar
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He He
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16
81
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24 May 2023
Prompt Evolution for Generative AI: A Classifier-Guided Approach
Melvin Wong
Yew-Soon Ong
Abhishek Gupta
K. Bali
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16
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Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations
Wei-Lin Chen
Cheng-Kuang Wu
Yun-Nung Chen
Hsin-Hsi Chen
8
27
0
24 May 2023
OverPrompt: Enhancing ChatGPT through Efficient In-Context Learning
Jiazheng Li
Runcong Zhao
Yongxin Yang
Yulan He
Lin Gui
33
8
0
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Adversarial Demonstration Attacks on Large Language Models
Jiong Wang
Zi-yang Liu
Keun Hee Park
Zhuojun Jiang
Zhaoheng Zheng
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Muhao Chen
Chaowei Xiao
SILM
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In-Context Impersonation Reveals Large Language Models' Strengths and Biases
Leonard Salewski
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Eric Schulz
Zeynep Akata
22
145
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Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners
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Zilong Zheng
Jiaqi Li
Fanxu Meng
Song-Chun Zhu
Yitao Liang
Muhan Zhang
ReLM
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10
52
0
24 May 2023
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina
Timo Schick
Nikolaos Aletras
Jane Dwivedi-Yu
20
39
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23 May 2023
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Lean Wang
Lei Li
Damai Dai
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
14
163
0
23 May 2023
Dr.ICL: Demonstration-Retrieved In-context Learning
Man Luo
Xin Xu
Zhuyun Dai
Panupong Pasupat
Mehran Kazemi
Chitta Baral
Vaiva Imbrasaite
Vincent Zhao
RALM
24
48
0
23 May 2023
Concept-aware Training Improves In-context Learning Ability of Language Models
Michal Štefánik
Marek Kadlcík
KELM
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25
0
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23 May 2023
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker
Sukmin Cho
Soyeong Jeong
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Jong C. Park
OffRL
57
23
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23 May 2023
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
Chenglei Si
Dan Friedman
Nitish Joshi
Shi Feng
Danqi Chen
He He
8
42
0
22 May 2023
Iterative Forward Tuning Boosts In-Context Learning in Language Models
Jiaxi Yang
Binyuan Hui
Min Yang
Bailin Wang
Bowen Li
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Fei Huang
Yongbin Li
25
15
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22 May 2023
Meta-in-context learning in large language models
Julian Coda-Forno
Marcel Binz
Zeynep Akata
M. Botvinick
Jane X. Wang
Eric Schulz
LRM
187
34
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22 May 2023
Explaining Emergent In-Context Learning as Kernel Regression
Chi Han
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21
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MolXPT: Wrapping Molecules with Text for Generative Pre-training
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Tao Qin
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Tie-Yan Liu
16
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18 May 2023
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
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17
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Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
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Zirui Liu
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M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models
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...
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11
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What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning
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Tianyu Gao
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28
107
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Pre-Training to Learn in Context
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Furu Wei
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106
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Small Models are Valuable Plug-ins for Large Language Models
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Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text
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11
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Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment
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10
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A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
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In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models
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In-Context Learning Unlocked for Diffusion Models
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