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News/Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses
arxiv
PublishedSeptember 1, 2026 at 4:00 AM

Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses

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Publisher summary· verbatim

arXiv:2605.27971v2 Announce Type: replace-cross Abstract: When large language models are fine-tuned to generate persona- or tone-conditioned responses, their output diversity is severely limited--a failure we term Cross-Style Collapse. We trace this collapse to the cross-entropy objective, which und

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