Fangzhi Xu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Graph Representations

Comprehensive Evaluation

Logical Reasoning

Top Venues

Pattern Recognit.

Publications

Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. CoRR (2024)
Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Yantao Li, Jianbing Zhang, Zhiyong Wu
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents. CoRR (2024)
Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. ACL (1) (2024)
Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Yantao Li, Jianbing Zhang, Zhiyong Wu
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents. ACL (1) (2024)
Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. CoRR (2024)
Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, Jun Liu, Yu Qiao, Zhiyong Wu
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. CoRR (2024)
Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. LREC/COLING (2024)
Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng
Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). ICDE (2024)
Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. ACL (1) (2024)
Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. CoRR (2024)
Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text. CoRR (2023)
Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng
Contrastive Graph Representations for Logical Formulas Embedding. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. CoRR (2023)
Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. ACL (1) (2023)
Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria
Fusing topology contexts and logical rules in language models for knowledge graph completion. Inf. Fusion 90 (2023)
Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views. CoRR (2023)
Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang
MoCA: Incorporating domain pretraining and cross attention for textbook question answering. Pattern Recognit. 140 (2023)
Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. SIGIR (2022)
Siyu Yao, Tianzhe Zhao, Fangzhi Xu, Jun Liu
Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion. APWeb/WAIM (2) (2022)
Fangzhi Xu, Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. CoRR (2022)
Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao
Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. SIGIR (2022)
Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan
MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. CoRR (2021)