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Explaining Emergent In-Context Learning as Kernel Regression

Explaining Emergent In-Context Learning as Kernel Regression

22 May 2023
Chi Han
Ziqi Wang
H. Zhao
Heng Ji
    LRM
ArXivPDFHTML

Papers citing "Explaining Emergent In-Context Learning as Kernel Regression"

14 / 14 papers shown
Title
Exact Learning Dynamics of In-Context Learning in Linear Transformers and Its Application to Non-Linear Transformers
Exact Learning Dynamics of In-Context Learning in Linear Transformers and Its Application to Non-Linear Transformers
Nischal Mainali
Lucas Teixeira
24
0
0
17 Apr 2025
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
Renpu Liu
Ruida Zhou
Cong Shen
Jing Yang
23
0
0
17 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
46
3
0
06 Oct 2024
Does learning the right latent variables necessarily improve in-context
  learning?
Does learning the right latent variables necessarily improve in-context learning?
Sarthak Mittal
Eric Elmoznino
Léo Gagnon
Sangnie Bhardwaj
Dhanya Sridhar
Guillaume Lajoie
27
4
0
29 May 2024
Can large language models explore in-context?
Can large language models explore in-context?
Akshay Krishnamurthy
Keegan Harris
Dylan J. Foster
Cyril Zhang
Aleksandrs Slivkins
LM&Ro
LLMAG
LRM
118
20
0
22 Mar 2024
Visual In-Context Learning for Large Vision-Language Models
Visual In-Context Learning for Large Vision-Language Models
Yucheng Zhou
Xiang Li
Qianning Wang
Jianbing Shen
MLLM
27
57
0
18 Feb 2024
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field
  Dynamics on the Attention Landscape
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Juno Kim
Taiji Suzuki
16
18
0
02 Feb 2024
A Survey on In-context Learning
A Survey on In-context Learning
Qingxiu Dong
Lei Li
Damai Dai
Ce Zheng
Jingyuan Ma
...
Zhiyong Wu
Baobao Chang
Xu Sun
Lei Li
Zhifang Sui
ReLM
AIMat
20
460
0
31 Dec 2022
In-context Learning and Induction Heads
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
240
456
0
24 Sep 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
0
24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,402
0
28 Jan 2022
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot
  Sentiment Classification
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification
Zhenhailong Wang
Heng Ji
84
71
0
05 Dec 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
277
1,114
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,311
0
17 Jan 2021
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