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

22 May 2025

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 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 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 Davide Paglieri Bartłomiej Cupiał Samuel Coward Ulyana Piterbarg Maciej Wolczyk ... Lerrel Pinto Rob Fergus Jakob Foerster Jack Parker-Holder Tim Rocktaschel LLMAG LRM 213 22 0 20 Nov 2024
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