Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA. - Minzheng Wang 001; Longze Chen; Fu Cheng; Shengyi Liao; Xinghua Zhang 001; Bingli Wu; Haiyang Yu 003; Nan Xu; Lei Zhang 201; Run Luo; Yunshui Li; Min Yang 007; et al. (EMNLP, 2024)

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA. - Minzheng Wang 001; Longze Chen; Cheng Fu 003; Shengyi Liao; Xinghua Zhang 001; Bingli Wu; Haiyang Yu 003; Nan Xu; Lei Zhang 201; Run Luo; Yunshui Li; Min Yang 007; et al. (CoRR, 2024)

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization. - Huashan Sun; Shengyi Liao; Yansen Han; Yu Bai; Yang Gao; Cheng Fu 003; Weizhou Shen; Fanqi Wan; Ming Yan 008; Ji Zhang 011; Fei Huang 002 (CoRR, 2025)

QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning. - Fanqi Wan; Weizhou Shen; Shengyi Liao; Yingcheng Shi; Chenliang Li; Ziyi Yang; Ji Zhang 011; Fei Huang 002; Jingren Zhou 001; Ming Yan 008 (CoRR, 2025)

QwenLong-CPRS: Towards ∞-LLMs with Dynamic Context Optimization. - Weizhou Shen; Chenliang Li; Fanqi Wan; Shengyi Liao; Shaopeng Lai; Bo Zhang 071; Yingcheng Shi; Yuning Wu 001; Gang Fu; Zhansheng Li; Bin Yang; Ji Zhang 011; et al. (CoRR, 2025)