Dayuan Fu (傅大源)M.S. Student
Dept. of Artificial Intelligence |
![]() |
I am Dayuan Fu, a graduate student at PRIS-NLP Group at Beijing University of Posts and Telecommunications (BUPT), supervised by Prof. Weiran Xu. I visited TsinghuaC3I group from 2022.10 to 2024.9. My research interests primarily focus on LLM reasoning, planning, and decision-making ability (in Agent), which can make LLM more universal (i.e. AGI). I have published several papers at prominent NLP conferences, including ICLR, EMNLP, CIKM, and NAACL.
AgentRefine: Enhancing Agent Generalization through Refinement Tuning
Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu
ICLR 2025
[paper]
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma GongQue, Jianing Yu, Qiuna Tan, Weiran Xu
ICLR 2025
[paper]
[website]
[code]
[dataset]
[blog]
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making
Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou
EMNLP 2024 Main
[paper]
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data
Yejie Wang*, Keqing He*, Dayuan Fu*, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu
EMNLP 2024 Main
[paper]
PreAct: Prediction Enhances Agent's Planning Ability
Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu
Coling 2025
[paper]
[blog]
On Large Language Models' Hallucination with Regard to Known Facts
Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
NAACL 2024 Main
[paper]
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations
Weihao Zeng*, Dayuan Fu*, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu
NAACL 2024 Findings
[paper]
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu
CIKM 2023 (Oral).
[paper]
[code]
Semi-supervised knowledge-grounded pre-training for task-oriented dialog systems
Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu
SereTOD 2022 Workshop, EMNLP 2022, the 1st Award on SereTOD Challenge 2022 track 2
[paper]