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2020 – today
- 2025
[j6]Qika Lin
, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng:
Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA. IEEE Trans. Image Process. 34: 2421-2434 (2025)- [j5]Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria:
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond. IEEE Trans. Knowl. Data Eng. 37(4): 1620-1634 (2025) - [c18]Qiushi Sun, Kanzhi Cheng, Zichen Ding, Chuanyang Jin, Yian Wang, Fangzhi Xu, Zhenyu Wu, Chengyou Jia, Liheng Chen, Zhoumianze Liu, Ben Kao, Guohao Li, Junxian He, Yu Qiao, Zhiyong Wu:
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. ACL (1) 2025: 5555-5579 - [c17]Chengyou Jia, Minnan Luo, Zhuohang Dang, Qiushi Sun, Fangzhi Xu, Junlin Hu, Tianbao Xie, Zhiyong Wu:
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant. ACL (Findings) 2025: 8908-8934 - [c16]Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, Jun Liu, Yu Qiao, Zhiyong Wu:
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. ACL (1) 2025: 12975-12993 - [c15]Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Qiushi Sun, Kanzhi Cheng, Junxian He, Jun Liu, Zhiyong Wu:
Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. ACL (1) 2025: 13153-13167 - [c14]Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Jun Liu, Qika Lin, Zhiyong Wu:
φ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation. ACL (1) 2025: 13214-13227 - [c13]Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng:
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. ACL (1) 2025: 13587-13602 - [c12]Kanzhi Cheng, Wenpo Song, Jiaxin Fan, Zheng Ma, Qiushi Sun, Fangzhi Xu, Chenyang Yan, Nuo Chen, Jianbing Zhang, Jiajun Chen:
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era. ACL (Findings) 2025: 14077-14094 - [c11]Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, Yian Wang, Qiushi Sun, Chengyou Jia, Kanzhi Cheng, Zichen Ding, Liheng Chen, Paul Pu Liang, Yu Qiao:
OS-ATLAS: Foundation Action Model for Generalist GUI Agents. ICLR 2025 - [c10]Kanzhi Cheng, Yantao Li, Fangzhi Xu, Jianbing Zhang, Hao Zhou, Yang Liu:
Vision-Language Models Can Self-Improve Reasoning via Reflection. NAACL (Long Papers) 2025: 8876-8892 - [i27]Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng:
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. CoRR abs/2501.18119 (2025) - [i26]Haiteng Zhao, Chang Ma, Fangzhi Xu, Lingpeng Kong, Zhi-Hong Deng:
BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning. CoRR abs/2502.16660 (2025) - [i25]Kanzhi Cheng, Wenpo Song, Jiaxin Fan, Zheng Ma, Qiushi Sun, Fangzhi Xu, Chenyang Yan, Nuo Chen, Jianbing Zhang, Jiajun Chen:
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era. CoRR abs/2503.12329 (2025) - [i24]Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Jun Liu, Qika Lin, Zhiyong Wu:
ϕ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation. CoRR abs/2503.13288 (2025) - [i23]Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Xinyu Zhang, Fangzhi Xu, Qika Lin, Rui Mao, Erik Cambria, Jun Liu:
MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving. CoRR abs/2503.16905 (2025) - [i22]Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Qiushi Sun, Kanzhi Cheng, Junxian He, Jun Liu, Zhiyong Wu:
Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. CoRR abs/2504.08672 (2025) - [i21]Muye Huang, Lingling Zhang, Jie Ma, Han Lai, Fangzhi Xu, Yifei Li, Wenjun Wu, Yaqiang Wu, Jun Liu:
ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding. CoRR abs/2505.19076 (2025) - [i20]Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu:
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows. CoRR abs/2505.19897 (2025) - [i19]Qika Lin, Fangzhi Xu, Hao Lu, Kai He, Rui Mao, Jun Liu, Erik Cambria, Mengling Feng:
Towards Unified Neurosymbolic Reasoning on Knowledge Graphs. CoRR abs/2507.03697 (2025) - [i18]Hang Yan, Fangzhi Xu, Rongman Xu, Yifei Li, Jian Zhang, Haoran Luo, Xiaobao Wu, Luu Anh Tuan, Haiteng Zhao, Qika Lin, Jun Liu:
MUR: Momentum Uncertainty guided Reasoning for Large Language Models. CoRR abs/2507.14958 (2025) - [i17]Haoran Luo, Haihong E, Guanting Chen, Qika Lin, Yikai Guo, Fangzhi Xu, Ze-min Kuang, Meina Song, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan:
Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning. CoRR abs/2507.21892 (2025) - [i16]Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng:
A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning. CoRR abs/2509.03906 (2025) - [i15]Qiushi Sun, Mukai Li, Zhoumianze Liu, Zhihui Xie, Fangzhi Xu, Zhangyue Yin, Kanzhi Cheng, Zehao Li, Zichen Ding, Qi Liu, Zhiyong Wu, Zhuosheng Zhang, Ben Kao, Lingpeng Kong:
OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows. CoRR abs/2510.24411 (2025) - 2024
- [j4]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. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18499-18511 (2024) - [c9]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: 9313-9332 - [c8]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: 13091-13116 - [c7]Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu:
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. ACL (1) 2024: 13413-13429 - [c6]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: 1577-1587 - [c5]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: 5717-5718 - [i14]Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Yantao Li, Jianbing Zhang, Zhiyong Wu:
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents. CoRR abs/2401.10935 (2024) - [i13]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 abs/2403.09721 (2024) - [i12]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 abs/2403.14734 (2024) - [i11]Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu:
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. CoRR abs/2405.19109 (2024) - [i10]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 abs/2406.11736 (2024) - [i9]Chengyou Jia, Minnan Luo, Zhuohang Dang, Qiushi Sun, Fangzhi Xu, Junlin Hu, Tianbao Xie, Zhiyong Wu:
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant. CoRR abs/2410.18603 (2024) - [i8]Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, Yian Wang, Qiushi Sun, Chengyou Jia, Kanzhi Cheng, Zichen Ding, Liheng Chen, Paul Pu Liang, Yu Qiao:
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents. CoRR abs/2410.23218 (2024) - [i7]Kanzhi Cheng, Yantao Li, Fangzhi Xu, Jianbing Zhang, Hao Zhou, Yang Liu:
Vision-Language Models Can Self-Improve Reasoning via Reflection. CoRR abs/2411.00855 (2024) - [i6]Qiushi Sun, Kanzhi Cheng, Zichen Ding, Chuanyang Jin, Yian Wang, Fangzhi Xu, Zhenyu Wu, Chengyou Jia, Liheng Chen, Zhoumianze Liu, Ben Kao, Guohao Li, Junxian He, Yu Qiao, Zhiyong Wu:
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. CoRR abs/2412.19723 (2024) - 2023
- [j3]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: 253-264 (2023) - [j2]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: 109588 (2023) - [j1]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): 3563-3574 (2023) - [c4]Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria:
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. ACL (1) 2023: 1281-1293 - [i5]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 abs/2301.02983 (2023) - [i4]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 abs/2306.09841 (2023) - [i3]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 abs/2311.09278 (2023) - 2022
- [c3]Siyu Yao, Tianzhe Zhao, Fangzhi Xu, Jun Liu:
Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion. APWeb/WAIM (2) 2022: 271-285 - [c2]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: 893-903 - [c1]Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang:
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. SIGIR 2022: 1055-1065 - [i2]Fangzhi Xu, Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang:
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. CoRR abs/2205.00731 (2022) - 2021
- [i1]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 abs/2112.02839 (2021)
Coauthor Index
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