π Selected Publications

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows π€π¬
Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu
[Paper] | [Slides] | [Project] | [Env] | [Code] |
- First to apply computer-using agents to assist scientific exploration π
- Dynamic environment & benchmark for realistic scientific workflows π
- Comprehensive evaluation of SOTA LLM/VLM agents π§

OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis π₯π₯
Qiushi Sun*, Kanzhi Cheng*, Zichen Ding*, Chuanyang Jin*, Yian Wang, Fangzhi Xu, Zhenyu Wu, Chengyou Jia, Liheng Chen, Zhoumianze Liu, Ben Kao, Guohao Li, Junxian He, Yu Qiao, Zhiyong Wu
[Paper] | [Slides] | [Project] | [Models & Data] |
- Shift from task-driven to interaction-driven GUI data synthesis π€
- A manual-free pipeline for constructing diverse GUI agent trajectories π§¬
- Great performance on online mobile/web benchmarks π

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond π₯π₯
Qiushi Sun, Zhirui Chen, Fangzhi Xu, Chang Ma, Kanzhi Cheng, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Pengcheng Yin, Qipeng Guo, Xipeng Qiu, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu
[Paper] | [Slides] | [Project] | [Video] |
Let me walk you through the development of neural code intelligence:
- Follow LMs for code as a thread to trace the fieldβs development π
- Explore cross-domain synergies and opportunities π±
- Present a broad array of promising research avenues π‘
Preprint
OS-MAP: How Far Can Computer Use Agents Go in Breadth and Depth?, Xuetian Chen, Yinghao Chen, Xinfeng Yuan, Lu Chen, Yuekeng Li, Zhoujia Zhang, Yingqian Huang, Leyan Huang, Jiaqing Liang, Tianbao Xie, Zhiyong Wu, Qiushi Sunβ, Biqing Qiβ and Bowen Zhou.Preprint
CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback, Qiushi Sun*, Jingyang Gong*, Lei Li, Qipeng Guo and Fei Yuan.ACL 2025
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models, Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, Jun Liu and Zhiyong Wu.ACL 2025
Dynamic and Generalizable Process Reward Modeling, Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu and Xuanjing Huang.ICLR 2025 (Spotlight)
OS-ATLAS: A Foundation Action Model For Generalist GUI Agents, Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, Yian Wang, Qiushi Sun, Chengyou Jia, Kanzhi Cheng, Zichen Ding, Liheng Chen, Paul Pu Liang and Yu Qiao.NAACL 2025 (Oral)
KS-Lottery: Finding Certified Lottery Tickets for Multilingual Language Models, Fei Yuan, Chang Ma, Shuai Yuan, Qiushi Sun and Lei Li.COLM 2024
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration, Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu and Lingpeng Kong. [LLMAgents @ ICLR 2024] SlidesACL 2024
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting, Jianing Wang*, Qiushi Sun*, Xiang Li and Ming Gao. SlidesACL 2024
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents, Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Yantao Li, Jianbing Zhang and Zhiyong Wu. [LLMAgents @ ICLR 2024]ACL 2024
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models, Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao and Jun Liu.COLING 2024
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills, Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li and Ming Gao.COLING 2024
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives, Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li and Ming Gao. | π₯ 100K RMB Award-winning SolutionEMNLP 2023
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication, Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang and Xipeng Qiu. Slides | VideoCIKM 2023 (Demo)
HugNLP: A Unified and Comprehensive Library for Natural Language Processing, Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang and Ming Gao. | π Best Paper AwardACL 2023
Do Large Language Models Know What They Donβt Know?, Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu and Xuanjing Huang. Slides | Video |EMNLP 2022
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure, Nuo Chen*, Qiushi Sun*, Renyu Zhu*, Xiang Li, Xuesong Lu and Ming Gao. Slides | Video |
*Denotes equal contribution, β denotes corresponding author, more working drafts / preprints under review will be released later βοΈ