Dayuan Fu

According to our database, Dayuan Fu authored at least 27 papers between 2022 and 2026.

Collaborative distances:

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

2026

daVinci-Env: Open SWE Environment Synthesis at Scale.

Dayuan Fu, Shenyu Wu, Yunze Wu, Zerui Peng, Yaxing Huang, Jie Sun, Ji Zeng, Mohan Jiang, Lin Zhang, Yukun Li, Jiarui Hu, Liming Liu, Jinlong Hou, Pengfei Liu

CoRR, March, 2026

daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently.

Mohan Jiang, Dayuan Fu, Junhao Shi, Ji Zeng, Weiye Si, Keyu Li, Xuefeng Li, Yang Xiao, Wenjie Li, Dequan Wang, Pengfei Liu

CoRR, February, 2026

daVinci-Dev: Agent-native Mid-training for Software Engineering.

Ji Zeng, Dayuan Fu, Tiantian Mi, Yumin Zhuang, Yaxing Huang, Xuefeng Li, Lyumanshan Ye, Muhang Xie, Qishuo Hua, Zhen Huang, Mohan Jiang, Hanning Wang, Jifan Lin, Yang Xiao, Jie Sun, Yunze Wu, Pengfei Liu

CoRR, January, 2026

SelfCorrect-Agent: Toward robust and generalizable LLM-based agents.

Keqing He, Dayuan Fu, Lele Yang, Weiran Xu, Chao Wang

Neurocomputing, 2026

Interaction as Intelligence: A Transparent, Fine-Grained Multi-Agent Deep Research System for Human-Agent Collaboration.

Lyumanshan Ye, Xiaojie Cai, Xinkai Wang, Junfei Wang, Yuxiang Zheng, Xiangkun Hu, Tianze Xu, Dayuan Fu, Pengrui Lu, Yang Nan, Jiadi Su, Yunze Wu, Pengfei Liu

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Interaction as Intelligence Part II: Asynchronous Human-Agent Rollout for Long-Horizon Task Training.

Dayuan Fu, Yunze Wu, Xiaojie Cai, Lyumanshan Ye, Shijie Xia, Zhen Huang, Weiye Si, Tianze Xu, Jie Sun, Keyu Li, Mohan Jiang, Junfei Wang, Qishuo Hua, Pengrui Lu, Yang Xiao, Pengfei Liu

CoRR, October, 2025

InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM Research.

Yunze Wu, Dayuan Fu, Weiye Si, Zhen Huang, Mohan Jiang, Keyu Li, Shijie Xia, Jie Sun, Tianze Xu, Xiangkun Hu, Pengrui Lu, Xiaojie Cai, Lyumanshan Ye, Wenhong Zhu, Yang Xiao, Pengfei Liu

CoRR, October, 2025

Context Engineering 2.0: The Context of Context Engineering.

Qishuo Hua, Lyumanshan Ye, Dayuan Fu, Yang Xiao, Xiaojie Cai, Yunze Wu, Jifan Lin, Junfei Wang, Pengfei Liu

CoRR, October, 2025

DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery.

Keyu Li, Mohan Jiang, Dayuan Fu, Yunze Wu, Xiangkun Hu, Dequan Wang, Pengfei Liu

CoRR, August, 2025

Interaction as Intelligence: Deep Research With Human-AI Partnership.

Lyumanshan Ye, Xiaojie Cai, Xinkai Wang, Junfei Wang, Xiangkun Hu, Jiadi Su, Yang Nan, Sihan Wang, Bohan Zhang, Xiaoze Fan, Jinbin Luo, Yuxiang Zheng, Tianze Xu, Dayuan Fu, Yunze Wu, Pengrui Lu, Zengzhi Wang, Yiwei Qin, Zhen Huang, Yan Ma, Zhulin Hu, Haoyang Zou, Tiantian Mi, Yixin Ye, Ethan Chern, Pengfei Liu

CoRR, July, 2025

FuseMind: Fusing reflection and prediction elevates agent's reasoning capabilities.

Xiufa Ma, Xinxin Ge, Heyang Xu, Dayuan Fu, Zhexu Wang, Yuchen Liu, Keqing He, Weiran Xu

Neurocomputing, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments.

Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, Xiaojie Cai, Lyumanshan Ye, Pengrui Lu, Pengfei Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

PreAct: Prediction Enhances Agent's Planning Ability.

Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

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

CoRR, 2024

PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability.

Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu

CoRR, 2024

DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations.

Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu

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

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses.

Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations.

Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu

CoRR, 2023

Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations.

Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition.

Guanting Dong, Zechen Wang, Liwen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, QiXiang Gao, Weiran Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

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

CoRR, 2022