Good Papers

Showing papers from University of the Chinese Academy of Sciences University of Illinois Urbana-Champaign Show all papers

83%Must read
?Must readVote to see the score

The Hidden Power of Scaling Factor in LoRA Optimization

LoRA's scaling factor dominates optimization by amplifying task signals without increasing drift, outperforming learning rate adjustments. The optimal alpha follows a sublinear square-root law with rank, revealing insufficient scaling in existing heuristics. Proposed LoRA-alpha restores principled s

Zicheng Zhang, Haoran Li, Jiaxing Wang, Guoqiang Gong and 9 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 12 on Hugging Face

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 2/5