AI RESEARCH
HMPO: Hybrid Median-length Policy Optimization for Chain-of-Thought Compression
arXiv CS.LG
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ArXi:2606.01934v1 Announce Type: new Large language models achieve remarkable performance via extended chain-of-thought (CoT) reasoning, yet this lengthy process incurs substantial inference overhead. Existing CoT compression methods struggle with inflexible manual length budgets, computationally expensive multi-stage