I am a PhD student in ZJUNLP group from Zhejiang University, advised by Prof. Huajun Chen and Prof. Ningyu Zhang. Currently, I am also interning at Alibaba Tongyi Lab (DAMO Academy), 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 Language Model Reasoning and Planning, Large Language Model Agents, and their applications.

🔥 News

• 2024.09:  🎉🎉 One paper has been accepted by ICLR 2025.
• 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.
• 2024.09:  🎉🎉 One paper has been accepted by EMNLP 2024 findings.

📝 Publications

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: 🌟

• 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.
• 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. 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

• 2024.10 Chen Tianzhou Scholarship (陈天洲奖学金).
• 2024.08 KnowledgeNLP@ACL 2024 Best Paper Award.
• 2023.12 National Scholarship for Graduate Students (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

• 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 - present, Alibaba 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.