Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. - Shwai He; Run-Ze Fan; Liang Ding 006; Li Shen 008; Tianyi Zhou 001; Dacheng Tao (EMNLP, 2023)

MerA: Merging Pretrained Adapters For Few-Shot Learning. - Shwai He; Run-Ze Fan; Liang Ding 006; Li Shen 008; Tianyi Zhou 001; Dacheng Tao (CoRR, 2023)

Data Contamination Report from the 2024 CONDA Shared Task. - Oscar Sainz; Iker García-Ferrero; Alon Jacovi; Jon Ander Campos; Yanai Elazar; Eneko Agirre; Yoav Goldberg; Wei-Lin Chen; Jenny Chim; Leshem Choshen; Luca D'Amico-Wong; Melissa Dell; et al. (CONDA, 2024)

RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. - Run-Ze Fan; Yixing Fan; Jiangui Chen; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (ECIR (1), 2024)

Reformatted Alignment. - Run-Ze Fan; Xuefeng Li 003; Haoyang Zou; Junlong Li; Shwai He; Ethan Chern; Jiewen Hu; Pengfei Liu 003 (EMNLP (Findings), 2024)

Generative Judge for Evaluating Alignment. - Junlong Li; Shichao Sun; Weizhe Yuan; Run-Ze Fan; Hai Zhao 001; Pengfei Liu 003 (ICLR, 2024)

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI. - Zhen Huang; Zengzhi Wang; Shijie Xia; Xuefeng Li 003; Haoyang Zou; Ruijie Xu; Run-Ze Fan; Lyumanshan Ye; Ethan Chern; Yixin Ye; Yikai Zhang 003; Yuqing Yang 004; et al. (NeurIPS, 2024)

Benchmarking Benchmark Leakage in Large Language Models. - Ruijie Xu; Zengzhi Wang; Run-Ze Fan; Pengfei Liu 003 (CoRR, 2024)

PC Agent: While You Sleep, AI Works - A Cognitive Journey into Digital World. - Yanheng He; Jiahe Jin; Shijie Xia; Jiadi Su; Run-Ze Fan; Haoyang Zou; Xiangkun Hu; Pengfei Liu 003 (CoRR, 2024)

Generative AI Act II: Test Time Scaling Drives Cognition Engineering. - Shijie Xia; Yiwei Qin; Xuefeng Li 003; Yan Ma; Run-Ze Fan; Steffi Chern; Haoyang Zou; Fan Zhou; Xiangkun Hu; Jiahe Jin; Yanheng He; Yixin Ye; et al. (CoRR, 2025)

MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning. - Run-Ze Fan; Zengzhi Wang; Pengfei Liu (CoRR, 2025)