I am a PhD student in ZJUNLP group from Zhejiang University, advised by Prof. Huajun Chen and Prof. Ningyu Zhang. Currently, I am a visiting researcher at UCL AI Center supervised by Prof. Emine Yilmaz. I used to intern at Alibaba Tongyi Lab DeepResearch Team, mentored by Yong Jiang and Fei Huang. During my undergraduate studies, I interned at BDBC in Beihang University, supervised by Prof. Richong Zhang. Now, my research interests focus on Large Language Models, AI Agents, and their applications.

My research is supported by the CIE-Tencent Doctoral Research Incentive Program (中国电子学会-腾讯博士生科研激励计划). Many thanks!

🔥 News

• 2025.05:  🎉🎉 Four papers has been accepted by ACL 2025. See you in Vienna!
• 2024.09:  🎉🎉 One paper has been accepted by ICLR 2025. See you in Singapore!
• 2024.12: Our survey paper on MLLM-based Agents for General Computing Devices Use has been released!
• 2024.09:  🎉🎉 One paper has been accepted by NeurIPS 2024.

📝 Publications

arxiv

Scaling Generalist Data-Analytic Agents

Shuofei Qiao, Yanqiu Zhao, Zhisong Qiu, Xiaobin Wang, Jintian Zhang, Zhao Bin, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

Project Page

• TL;DR: A scalable data synthesis and agent training recipe designed to build generalist data-analytic agents.
• Github Stars: 🌟

ACL 2025

Agentic Knowledgeable Self-awareness

Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

Project Page

• TL;DR: A data-centric approach that applies agents with knowledgeable self-awareness like humans.
• Github Stars: 🌟

ICLR 2025

Benchmarking Agentic Workflow Generation

Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

Project Page

• TL;DR: A unified agentic workflow generation benchmark with multi-faceted scenarios and intricate graph workflow structures.
• Github Stars: 🌟

NeurIPS 2024

Agent Planning with World Knowledge Model

Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

Project Page

• TL;DR: We introduce parametric World Knowledge Model (WKM) which provides global prior task knowledge and local dynamic state knowledge to facilitate agent planning.
• Github Stars: 🌟

ACL 2024

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen

Project Page

• TL;DR: We introduce AutoAct, an automatic agent learning framework for QA that does not rely on large-scale annotated data and synthetic trajectories from closed-source models.
• Github Stars: 🌟

NAACL 2024

Making Language Moldels Better Tool Learners with Execution Feedback

Shuofei Qiao, Honghao Gui, Chengfei Lv, Qianghuai Jia, Huajun Chen, Ningyu Zhang

Project Page

• TL;DR: We propose an approach to learn through feedback derived from tool execution, thereby learning when and how to use tools effectively.
• Github Stars: 🌟

ACL 2023

Reasoning with Language Model Prompting: A Survey

Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen

Paper List

• TL;DR: A survey for language model reasoning with prompting.
• Github Stars: 🌟

• arXiv 2025 LightMem: Lightweight and Efficient Memory-Augmented Generation. Jizhan Fang, Xinle Deng, Haoming Xu, Ziyan Jiang, Yuqi Tang, Ziwen Xu, Shumin Deng, Yunzhi Yao, Mengru Wang, Shuofei Qiao, Huajun Chen, Ningyu Zhang.
• arXiv 2025 OceanGym: A Benchmark Environment for Underwater Embodied Agents. Yida Xue, Mingjun Mao, Xiangyuan Ru, Yuqi Zhu, Baochang Ren, Shuofei Qiao, Mengru Wang, Shumin Deng, Xinyu An, Ningyu Zhang, Ying Chen, Huajun Chen.
• arXiv 2025 Towards Personalized Deep Research: Benchmarks and Evaluations. Yuan Liang, Jiaxian Li, Yuqing Wang, Piaohong Wang, Motong Tian, Pai Liu, Shuofei Qiao, Runnan Fang, He Zhu, Ge Zhang, Minghao Liu, Yuchen Eleanor Jiang, Ningyu Zhang, Wangchunshu Zhou.
• arXiv 2025 KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality. Baochang Ren, Shuofei Qiao, Da Zheng, Huajun Chen, Ningyu Zhang.
• AAAI 2026 Why do open-source llms struggle with data analysis? a systematic empirical study. Yuqi Zhu, Yi Zhong, Jintian Zhang, Ziheng Zhang, Shuofei Qiao, Yujie Luo, Lun Du, Da Zheng, Ningyu Zhang, Huajun Chen. Oral.
• EMNLP 2025 LightThinker: Thinking Step-by-Step Compression. Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang. Oral.
• ACL 2025 SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement. Runnan Fang, Xiaobin Wang, Yuan Liang, Shuofei Qiao, Jialong Wu, Zekun Xi, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen.
• EMNLP 2024 findings Knowledge Mechanisms in Large Language Models: A Survey and Perspective. Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang.
• NAACL 2024 findings/KnowledgeNLP@ACL 2024 KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents. Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Ningyu Zhang, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen. KnowledgeNLP@ACL 2024 Best Paper Award.
• ISWC 2024 InstructIE: A Bilingual Instruction-based Information Extraction Dataset. Honghao Gui, Shuofei Qiao, Jintian Zhang, Hongbin Ye, Mengshu Sun, Lei Liang, Jeff Z. Pan, Huajun Chen, Ningyu Zhang.
• IJCAI 2023 One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen.
• WWWJ LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities. Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang.

🔧Projects

• EMNLP 2022 Demo DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. Github Stars: 🌟
• ACL 2024 Demo EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models. Github Stars: 🌟

🎖 Honors and Awards

• 2025.12 National Scholarship for Doctoral Students (博士研究生国家奖学金).
• 2025.07 2025 CIE-Tencent Doctoral Research Incentive Program (2025年度中国电子学会-腾讯博士生科研激励计划)
• 2025.04 ICLR 2025 Scholar Reward.
• 2024.10 Chen Tianzhou Scholarship (陈天洲奖学金).
• 2024.08 KnowledgeNLP@ACL 2024 Best Paper Award.
• 2023.12 National Scholarship for Master Students (硕士研究生国家奖学金).
• 2021.12 National Scholarship for Undergraduate Students (本科生国家奖学金).

📖 Educations

• 2024.02 - 2027.06, PhD Student, Zhejiang University.
• 2022.09 - 2024.02, Master Student, Zhejiang University.
• 2018.09 - 2022.06, Undergraduate Student, Beihang University.

💬 Invited Talks

• 2025.08/2025.11, How to do distinctive scientific research in the era of LLMs: Taking LLM Agent as an example. CCL2025 Student Seminar/MLNLP2025 Student Seminar.
• 2025.06, Knowledgeable Agents: Problems, Methods, and Applications. BAAI 7th Conference InnoVibe Lightning Talk.
• 2024.11, Knowledge-Augmented Large Language Model Agent Planning. SMP2024 PhD Seminar.
• 2023.11, From Chain-of-Thought to LLM Powered Autonomous Agents. MLNLP. Slides.

💻 Internships

• 2024.07 - 2025.08, Alibaba Cloud, Tongyi Lab (DAMO Academy), China.
• 2023.07 - 2024.07, Alibaba TaoTian Group, China.

✍️ Academic Service

• Conference Reviewer: ICLR, NeurIPS, ACL ARR, ACMMM.
• Conference Volunteer: ISWC 2023, ACL 2025.