arXivAI Research
Decoupling Exploration from Optimization: How ExpDis Boosts LLM Reasoning and Solution Diversity
探索與優化解耦：全新強化學習框架 ExpDis 提升大語言模型的推理多元性
The ExpDis framework decouples exploration from optimization in RLVR. By training explorers with novelty bonuses and distilling filtered trajectories into a student model, it prevents model degradation while fostering diverse reasoning.
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