🐯 About Me

I am Fangzhi Xu (徐方植), a second-year PhD student in Xi’an Jiaotong University, major in Computer Science, advised by Prof. Jun Liu. I am currently a research intern at Shanghai AI LAB, supervised by Dr. Zhiyong Wu.

I have published researches in some top-tier conferences and journals, such as ACL, SIGIR, and IEEE TKDE. Also, I serve as a PC member (or reviewer) for ACL, NAACL, IJCAI, SIGIR.

Research Interests

In general, my research interests lie in natural language processing, large language models and neuro-symbolic reasoning.
Currently, my researches cover the following topics:

• LLM + Neuro-Symbolic: ENVISIONS(Preprint), Symbol-LLM(ACL’24)
• Logical Reasoning: PathReasoner(ACL’24), Logiformer(SIGIR’22), TaCo(IEEE TNNLS), Evaluation Paper(IEEE TKDE under review)
• (Multimodal) Autonomous Agents: SeeClick(ACL’24), OS-Atlas(Preprint)

🔥 News

• 2024.10.31:   Our papers [OS-Atlas, AgentStore, R3-V] are recently released 🚀🚀!
• 2024.05.20:   Our paper ENVISIONS is recently released 🚀🚀!
• 2024.05.16:   Three papers are accepted by ACL 2024 (main conference) 🎉🎉!
• 2024.03.24:   Our recent survey on neural code intelligence is made public 🎉🎉!
• 2024.02.20:   One paper is accepted by COLING 2024 🎉🎉!
• 2024.02.10:   One paper is accepted by ICDE 2024 (TKDE Poster Track) 🎉🎉!
• 2023.11.15:   We make the recent work Symbol-LLM public 🚀!

📖 Educations

• 2021.09 - 2026.06 (expected), M.S. + Ph.D Student, Computer Science, Xi’an Jiaotong University.  
• 2017.09 - 2021.06, B.S. in Electrical Engineering, Xi’an Jiaotong University.   GPA:97.62/100, Rankings:1/365

💻 Internships

• 2023.07 - Present, Research Intern @ Shanghai AI LAB. Focus on Large Language Models and Neuro-Symbolic.

📝 Selected Publications

Preprint

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents 🔥🔥 [Preprint]
Zhiyong Wu*, Zhenyu Wu*, Fangzhi Xu*, Yian Wang*, Qiushi Sun, Chengyou Jia, Kanzhi Cheng, Zichen Ding, Liheng Chen, Paul Pu Liang, Yu Qiao

(* means equal contributions)

Code   Project Page   Demo  

Preprint

Interative Evolution: A Neural-symbolic Self-Training Framework for Large Language Models 🔥🔥 [Preprint]
Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, Jun Liu, Yu Qiao, Zhiyong Wu.

Code   Project Page    

ACL 2024

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models [CCF-A]
Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Qiao Yu and Jun Liu.

Code   Project Page    

ACL 2024

PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering [CCF-A]
Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu

Code

Preprint

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond Under Review at IEEE TKDE [CCF-A]
Fangzhi Xu*, Qika Lin*, Jiawei Han, Tianzhe Zhao, Jun Liu and Erik Cambria

(* means equal contributions)

Code

SIGIR 2022

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning [CCF-A]
Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan and Lingling Zhang

Code

🧑‍ Other Paper

• Preprint Vision-Language Models Can Self-Improve Reasoning via Reflection
  Kanzhi Cheng, Yantao Li, Fangzhi Xu, Jianbing Zhang, Hao Zhou, Yang Liu
• Preprint AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant
  Chengyou Jia, Minnan Luo, Zhuohang Dang, Qiushi Sun, Fangzhi Xu, Junlin Hu, Tianbao Xie, Zhiyong Wu
• Preprint A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond
  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
• ACL 2024 SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents [CCF-A]
  Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Yantao Li, Jianbing Zhang, Zhiyong Wu
• COLING 2024 A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction [CCF-B]
  Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu and Jun Liu
• ACL 2023 TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning [CCF-A]
  Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu and Erik Cambria
• Information Fusion Fusing Topology Contexts and Logical Rules in Language Models for Knowledge Graph Completion [SCI-Q1]
  Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria
• IEEE TNNLS Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text [CCF-B]
  Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang
• APWEB-WAIM 2022 Incorporating Prior Type Information for Few-shot Knowledge Graph Completion [CCF-C] (Excellent Student Paper)
  Siyu Yao, Tianzhe Zhao, Fangzhi Xu, Jun Liu
• SIGIR 2022 Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction [CCF-A]
  Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang and Tianzhe Zhao
• Pattern Recognition MoCA: Incorporating Domain Pretraining and Cross Attention for Textbook Question Answering [CCF-B]
  Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan
• IEEE TKDE Contrastive Graph Representations for Logical Formulas Embedding [CCF-A]
  Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng

🎖 Honors and Awards

Honors

• Oct.2022   Outstanding Student in Xi’an Jiaotong University
• Jun.2021   Outstanding Undergraduate Graduates in Shaanxi Province
• Sep.2020   Top-10 Students of the Year (Top Personal Award in Xi’an Jiaotong University)
• Sep.2019   Outstanding Student in Xi’an Jiaotong University
• Sep.2018   Outstanding Student in Xi’an Jiaotong University

Competition Awards

• Dec.2022   ”Huawei Cup” Mathematical Contest in Modeling, Second Prize
• Mar.2022   Asia and Pacific Mathematical Contest in Modeling (APMCM), First Prize + Innovation Award (Top-2)
• Dec.2021   ”Huawei Cup” Mathematical Contest in Modeling, Second Prize
• Sep.2020   IKCEST International Big Data Competition, Excellence Award
• Apr.2020   Mathematical Contest in Modeling (COMAP), Finalist
• Dec.2019   China Mathematical Contest in Modeling (CUMCM), Second Prize
• May.2018   National English Competition for College Students (NECCS), Second Prize

🎖 Scholarships

• 2023.09   Freshman First Prize Scholarship (PhD)
• 2022.09   National Scholarship
• 2022.09   Huawei Scholarship
• 2022.04   ACM SIGIR Student Travel Grant
• 2021.09   Freshman First Prize Scholarship (Master)
• 2020.09   Chinese Modern Scientists Scholarship (Only for Top-10 Student)
• 2019.09   National Scholarship
• 2018.09   National Scholarship

💬 Academic Services

• Program Committee Member: ACL ARR 2024, IJCAI 2024, SIGIR 2024, AACL 2023, SIGIR 2023, SIGIR-AP 2023
• Reviewer: IEEE TNNLS