Run-Ze Fan

According to our database, Run-Ze Fan authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning.

Run-Ze Fan, Zengzhi Wang, Pengfei Liu

CoRR, July, 2025

Generative AI Act II: Test Time Scaling Drives Cognition Engineering.

Shijie Xia, Yiwei Qin, Xuefeng Li, Yan Ma, Run-Ze Fan, Steffi Chern, Haoyang Zou, Fan Zhou, Xiangkun Hu, Jiahe Jin, Yanheng He, Yixin Ye, Yixiu Liu, Pengfei Liu

CoRR, April, 2025

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

CoRR, 2024

Benchmarking Benchmark Leakage in Large Language Models.

Ruijie Xu, Zengzhi Wang, Run-Ze Fan, Pengfei Liu

CoRR, 2024

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI.

Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Generative Judge for Evaluating Alignment.

Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, Pengfei Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Reformatted Alignment.

Run-Ze Fan, Xuefeng Li, Haoyang Zou, Junlong Li, Shwai He, Ethan Chern, Jiewen Hu, Pengfei Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation.

Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng

Proceedings of the Advances in Information Retrieval, 2024

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, Run-Ze Fan, Shahriar Golchin, Yucheng Li, Pengfei Liu, Bhavish Pahwa, Ameya Prabhu, Suryansh Sharma, Emily Silcock, Kateryna Solonko, David Stap, Mihai Surdeanu, Yu-Min Tseng, Vishaal Udandarao, Zengzhi Wang, Ruijie Xu, Jinglin Yang

Proceedings of the First Data Contamination Workshop, 2024

2023

MerA: Merging Pretrained Adapters For Few-Shot Learning.

Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao

CoRR, 2023

Merging Experts into One: Improving Computational Efficiency of Mixture of Experts.

Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023