AIBullisharXiv – CS AI · 18h ago7/10
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Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration
Researchers introduce Collaboration Policy Tree (Co-pi-tree), a method that distills large language model reasoning into interpretable, executable policy trees for human-AI collaboration. The approach achieves 35% performance improvement while reducing LLM queries by 78% and latency by 97%, addressing key limitations of black-box reinforcement learning and costly real-time LLM querying.