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News/Compatibility-Aware Dynamic Fine-Tuning for Large Language Models
arxiv
PublishedJune 11, 2026 at 4:00 AM
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Compatibility-Aware Dynamic Fine-Tuning for Large Language Models

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arXiv:2606.11206v1 Announce Type: new Abstract: Supervised Fine-Tuning (SFT) is the predominant paradigm for aligning large language models (LLMs), yet it suffers from optimization instability and limited generalization. Recent work attributes this issue to pathological gradient scaling and proposes

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