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Understanding Prompt Tuning and In-Context Learning via Meta-Learning

Understanding Prompt Tuning and In-Context Learning via Meta-Learning

22 May 2025
Tim Genewein
Kevin Wenliang Li
Jordi Grau-Moya
Anian Ruoss
Laurent Orseau
Marcus Hutter
    VPVLM
ArXiv (abs)PDFHTML

Papers citing "Understanding Prompt Tuning and In-Context Learning via Meta-Learning"

5 / 5 papers shown
Title
On the generalization of language models from in-context learning and finetuning: a controlled study
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen
Arslan Chaudhry
Stephanie Chan
Cody Wild
Diane Wan
Alex Ku
Jorg Bornschein
Razvan Pascanu
Murray Shanahan
James L. McClelland
175
5
0
01 May 2025
Towards Interpretable Soft Prompts
Towards Interpretable Soft Prompts
Oam Patel
Jason Wang
Nikhil Shivakumar Nayak
Suraj Srinivas
Himabindu Lakkaraju
70
1
0
02 Apr 2025
Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
Aaditya K. Singh
Ted Moskovitz
Sara Dragutinovic
Felix Hill
Stephanie C. Y. Chan
Andrew Saxe
441
5
0
07 Mar 2025
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
Davide Paglieri
Bartłomiej Cupiał
Samuel Coward
Ulyana Piterbarg
Maciej Wolczyk
...
Lerrel Pinto
Rob Fergus
Jakob Foerster
Jack Parker-Holder
Tim Rocktaschel
LLMAGLRM
213
22
0
20 Nov 2024
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
David Heurtel-Depeiges
Anian Ruoss
J. Veness
Tim Genewein
213
2
0
07 Oct 2024
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