RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. - Zekun Moore Wang; Zhongyuan Peng; Haoran Que; Jiaheng Liu; Wangchunshu Zhou; Yuhan Wu; Hongcheng Guo; Ruitong Gan; Zehao Ni; Man Zhang 005; Zhaoxiang Zhang 001; Wanli Ouyang; et al. (CoRR, 2023)

E2-LLM: Efficient and Extreme Length Extension of Large Language Models. - Jiaheng Liu; Zhiqi Bai; Yuanxing Zhang; Chenchen Zhang; Yu Zhang 176; Ge Zhang 009; Jiakai Wang; Haoran Que; Yukang Chen; Wenbo Su; Tiezheng Ge; Jie Fu 001; et al. (ACL (Findings), 2024)

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. - Noah Wang; Zhongyuan Peng; Haoran Que; Jiaheng Liu; Wangchunshu Zhou; Yuhan Wu; Hongcheng Guo; Ruitong Gan; Zehao Ni; Jian Yang 030; Man Zhang 005; Zhaoxiang Zhang 001; et al. (ACL (Findings), 2024)

RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts. - Jiaheng Liu; Zehao Ni; Haoran Que; Tao Sun 016; Noah Wang; Jian Yang 030; Jiakai Wang; Hongcheng Guo; Zhongyuan Peng; Ge Zhang 009; Jiayi Tian; Xingyuan Bu; et al. (NeurIPS, 2024)

DDK: Distilling Domain Knowledge for Efficient Large Language Models. - Jiaheng Liu; Chenchen Zhang; Jinyang Guo; Yuanxing Zhang; Haoran Que; Ken Deng; Zhiqi Bai; Jie Liu 047; Ge Zhang 009; Jiakai Wang; Yanan Wu; Congnan Liu; et al. (NeurIPS, 2024)

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. - Haoran Que; Jiaheng Liu; Ge Zhang 009; Chenchen Zhang; Xingwei Qu; Yinghao Ma; Feiyu Duan; Zhiqi Bai; Jiakai Wang; Yuanxing Zhang; Xu Tan 003; Jie Fu 001; et al. (NeurIPS, 2024)

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. - Jiaheng Liu; Zhiqi Bai; Yuanxing Zhang; Chenchen Zhang; Yu Zhang 176; Ge Zhang 009; Jiakai Wang; Haoran Que; Yukang Chen; Wenbo Su; Tiezheng Ge; Jie Fu 001; et al. (CoRR, 2024)

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models. - Haoran Que; Feiyu Duan; Liqun He; Yutao Mou; Wangchunshu Zhou; Jiaheng Liu; Wenge Rong; Zekun Moore Wang; Jian Yang 030; Ge Zhang 009; Junran Peng; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

MIO: A Foundation Model on Multimodal Tokens. - Zekun Wang; King Zhu; Chunpu Xu; Wangchunshu Zhou; Jiaheng Liu; Yibo Zhang; Jiashuo Wang; Ning Shi; Siyu Li; Yizhi Li; Haoran Que; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

Enhancing LLMs via High-Knowledge Data Selection. - Feiyu Duan; Xuemiao Zhang; Sirui Wang; Haoran Que; Yuqi Liu; Wenge Rong; Xunliang Cai (AAAI, 2025)

PIC: Unlocking Long-Form Text Generation Capabilities of Large Language Models via Position ID Compression. - Haoran Que; Wenge Rong (ACL (1), 2025)

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines. - M.-A-P. Team; Xinrun Du; Yifan Yao; Kaijing Ma; Bingli Wang; Tianyu Zheng; Kang Zhu; Minghao Liu; Yiming Liang; Xiaolong Jin; Zhenlin Wei; Chujie Zheng; et al. (CoRR, 2025)

A Comprehensive Survey on Long Context Language Modeling. - Jiaheng Liu; Dawei Zhu; Zhiqi Bai; Yancheng He; Huanxuan Liao; Haoran Que; Zekun Wang; Chenchen Zhang; Ge Zhang 009; Jiebin Zhang; Yuanxing Zhang; Zhuo Chen; et al. (CoRR, 2025)

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values. - M.-A-P. Team; Siwei Wu; Jincheng Ren; Xinrun Du; Shuyue Guo; Xingwei Qu; Yiming Liang; Jie Liu 047; Yunwen Li; Tianyu Zheng; Boyu Feng; Huaqing Yuan; et al. (CoRR, 2025)