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Power-Law Decay Loss for Large Language Model Finetuning: A Theory Perspective
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Power-Law Decay Loss for Large Language Model Finetuning: A Theory Perspective

22 May 2025
Jintian Shao
ArXiv (abs)PDFHTML

Papers citing "Power-Law Decay Loss for Large Language Model Finetuning: A Theory Perspective"

1 / 1 papers shown
Title
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
605
20,418
0
23 Oct 2019
1