DART-ES: Difficulty-aware reweighting and targeted replay for fine-tuning LLMs with evolution strategies
Read the original at arxiv.org→arXiv:2610.06993v1 Announce Type: new Abstract: Evolution Strategies (ES) enable memory efficient full parameter fine-tuning of large language models (LLMs) using only forward computation. However, standard ES...
Original headline: "DART-ES: Difficulty-Aware Reweighting and Targeted Replay for Fine-Tuning LLMs with Evolution Strategies"
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- Oct 7, 04:00 UTC arXiv cs.LG lead source DART-ES: Difficulty-Aware Reweighting and Targeted Replay for Fine-Tuning LLMs with Evolution Strategies