5 citations · 6 across the 9 of their papers we have counts for
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cs.LG2026
LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning
Bowen Ping, Zijun Chen, Tingfeng Hui +4
Reinforcement Learning (RL) has emerged as a critical driver for enhancing the reasoning capabilities of Large Language Models (LLMs). While recent advancements have focused on rew…
cs.CL2026
LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards
Qize Yu, Bowen Ping, Zijun Chen +6
Reinforcement Learning (RL) has emerged as a key driver for LLM reasoning. This capability is equally pivotal in long-context scenarios---such as long-dialogue understanding and st…