Xin Qiu
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126
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ML×1AI×1
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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.
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