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News/Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning
arxiv
PublishedJune 10, 2026 at 4:00 AM
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Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning

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Publisher summary· verbatim

arXiv:2606.09866v1 Announce Type: cross Abstract: Fine-tuning safety aligned large language models (LLMs) on downstream data improves adaptation but may erode learned safety behavior. Existing methods use fixed safety examples, global constraints, or one-sided task filtering. Our diagnostics show ta

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Mentioned models
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Read original ↗All from arxiv →
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#safety#fine-tuning#language-models

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