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cs.LG2026
ExpThink: Experience-Guided Reinforcement Learning for Adaptive Chain-of-Thought Compression
Tingcheng Bian, Yuzhe Zhang, Jing Jin +5
Large reasoning models (LRMs) achieve strong performance via extended chain-of-thought (CoT) reasoning, yet suffer from excessive token consumption and high inference latency. Exis…
cs.LG2020★ 2 cited
AirRL: A Reinforcement Learning Approach to Urban Air Quality Inference
Huiqiang Zhong, Cunxiang Yin, Xiaohui Wu +2
Urban air pollution has become a major environmental problem that threatens public health. It has become increasingly important to infer fine-grained urban air quality based on exi…