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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"

12 / 562 papers shown
Title
Ground-Truth Labels Matter: A Deeper Look into Input-Label
  Demonstrations
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Kang Min Yoo
Junyeob Kim
Sungmin Cho
Hyunsoo Cho
Hwiyeol Jo
Sang-Woo Lee
Sang-goo Lee
Taeuk Kim
114
129
0
25 May 2022
Prototypical Calibration for Few-shot Learning of Language Models
Prototypical Calibration for Few-shot Learning of Language Models
Zhixiong Han
Y. Hao
Li Dong
Yutao Sun
Furu Wei
266
56
0
20 May 2022
On the Effect of Pretraining Corpora on In-context Learning by a
  Large-scale Language Model
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
Seongjin Shin
Sang-Woo Lee
Hwijeen Ahn
Sungdong Kim
Hyoungseok Kim
...
Kyunghyun Cho
Gichang Lee
W. Park
Jung-Woo Ha
Nako Sung
LRM
117
97
0
28 Apr 2022
Data Distributional Properties Drive Emergent In-Context Learning in
  Transformers
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Stephanie C. Y. Chan
Adam Santoro
Andrew Kyle Lampinen
Jane X. Wang
Aaditya K. Singh
Pierre Harvey Richemond
J. Mcclelland
Felix Hill
179
266
0
22 Apr 2022
Can language models learn from explanations in context?
Can language models learn from explanations in context?
Andrew Kyle Lampinen
Ishita Dasgupta
Stephanie C. Y. Chan
Kory Matthewson
Michael Henry Tessler
Antonia Creswell
James L. McClelland
Jane X. Wang
Felix Hill
LRMReLM
186
302
0
05 Apr 2022
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Andy Zeng
Maria Attarian
Brian Ichter
K. Choromanski
Adrian S. Wong
...
Michael S. Ryoo
Vikas Sindhwani
Johnny Lee
Vincent Vanhoucke
Peter R. Florence
ReLMLRM
166
589
0
01 Apr 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLMLRM
157
512
0
28 Mar 2022
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large
  Language Models
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models
Archiki Prasad
Peter Hase
Xiang Zhou
Joey Tianyi Zhou
121
124
0
14 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning
  Work?
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min
Xinxi Lyu
Ari Holtzman
Mikel Artetxe
M. Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
LLMAGLRM
196
1,506
0
25 Feb 2022
A Survey of Controllable Text Generation using Transformer-based
  Pre-trained Language Models
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models
Hanqing Zhang
Haolin Song
Shaoyu Li
Ming Zhou
Dawei Song
141
230
0
14 Jan 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLMRALM
96
709
0
16 Dec 2021
Systematic human learning and generalization from a brief tutorial with
  explanatory feedback
Systematic human learning and generalization from a brief tutorial with explanatory feedback
A. Nam
James L. McClelland
38
1
0
10 Jul 2021
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