LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts

ICLROral2026

Authors
Siyuan Wang, Gaokai Zhang, Li Lyna Zhang, Ning Shang, Fan Yang, Dongyao Chen, Mao Yang
Affiliation
Shanghai Jiaotong University
Venue
ICLR 2026
Track
Oral

TL;DR

Reasoning over long contexts is essential for large language models. While reinforcement learning (RL) enhances short-context reasoning by inducing "Aha" moments in chain-of-thought, the advanced thinking patterns required for long-context reasoning remain largely unexplored, and high-difficulty RL data are scarce.

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Topics

reinforcement learning large language model chain-of-thought language model long context reasoning

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