Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Conor F. Hayes

Conor F. Hayes

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

ML×1AI×1

Frequent co-authors

Kajetan Schweighofer1×
Roberto Dailey1×
Risto Miikkulainen1×
Xin Qiu1×

Research Timeline

2026
Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies

This paper introduces Anchored Weight Decay (AWD), a regularization technique that effectively prevents prior-task forgetting during LLM fine-tuning with Evolution Strategies (ES), positioning ES as a viable method for continual learning.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIRecentMay 28, 2026

Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies

Kajetan Schweighofer, Conor F. Hayes, Roberto Dailey, Risto Miikkulainen +1 more

This paper introduces Anchored Weight Decay (AWD), a regularization technique that effectively prevents prior-task forgetting during LLM fine-tuning with Evolution Strategies (ES), positioning ES as a…

View →