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News/Same Evidence, Different Answers: Canonical-Context On-Policy Distillation for Multi-Turn Language Models
arxiv
PublishedOctober 21, 2026 at 4:00 AM

Same Evidence, Different Answers: Canonical-Context On-Policy Distillation for Multi-Turn Language Models

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arXiv:2605.30251v2 Announce Type: replace-cross Abstract: Large language models (LLMs) often solve a task when all instructions are given in a single prompt, but fail when the same information is revealed gradually across turns. When a clean FULL prompt and a RAW-SHARDED conversation contain the sam

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