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most citedCRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents

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cs.CL2026

Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization

Jiashu Yao, Heyan Huang, Daiqing Wu +2

To encourage diverse exploration in reinforcement learning (RL) for large language models (LLMs) without compromising accuracy, we propose Policy Split, a novel paradigm that bifur…