Fangzhi Xu

According to our database, Fangzhi Xu authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.

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

CoRR, 2024

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction.

Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu

CoRR, 2024

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents.

Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Yantao Li, Jianbing Zhang, Zhiyong Wu

CoRR, 2024

2023

MoCA: Incorporating domain pretraining and cross attention for textbook question answering.

Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang

Pattern Recognit., August, 2023

Contrastive Graph Representations for Logical Formulas Embedding.

Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng

IEEE Trans. Knowl. Data Eng., April, 2023

Fusing topology contexts and logical rules in language models for knowledge graph completion.

Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria

Inf. Fusion, 2023

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, Jun Liu

CoRR, 2023

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views.

Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria

CoRR, 2023

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text.

Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang

CoRR, 2023

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning.

Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning.

Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction.

Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion.

Siyu Yao, Tianzhe Zhao, Fangzhi Xu, Jun Liu

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering.

Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan

CoRR, 2021