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ORCIDChangzhi Zhou
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2020 – today
- 2026
[j4]Yading Li
, Dandan Song, Yuhang Tian, Hao Wang, Changzhi Zhou, Shuhao Zhang:
A Framework of Knowledge Graph-Enhanced Large Language Model Based on Global Planning. IEEE Trans. Knowl. Data Eng. 38(2): 736-748 (2026)- [c14]Huipeng Ma, Luan Zhang, Dandan Song, Linmei Hu, Yuhang Tian, Jun Yang, Changzhi Zhou, Chenhao Li, Yizhou Jin, Xudong Li, Meng Lin, Mingxing Zhang, Shuhao Zhang:
ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models. AAAI 2026: 32419-32427 - [c13]Chenhao Li, Dandan Song, Changzhi Zhou, Jun Yang, Yuhang Tian, Huipeng Ma, Guangyuan Feng, Luan Zhang, Xudong Li, Ke Duan:
Static Models, Dynamic World: A Unified Perspective on Temporal Perception in Large Language Models. ACL (Findings) 2026: 1913-1932 - [c12]Yuhang Tian, Dandan Song, Zhijing Wu, Changzhi Zhou, Jun Yang, Huipeng Ma, Chenhao Li, Luan Zhang, Yading Li, Xudong Li, Shenxi Liu, Jing Jiang:
Subgraph-Guided Executable Logical Form Generation for Knowledge Base Question Answering. ACL (Findings) 2026: 3614-3635 - [c11]Xudong Li, Yuhang Tian, Dandan Song, Zhijing Wu, Shuhao Zhang, Jun Yang, Yongyu Huo, Changzhi Zhou, Xinyu Zhang, Chenhao Li, Huipeng Ma, Luan Zhang, Yan Xu, Qian Liu:
Multi-Hop Knowledge Editing via Critic-Guided Multi-Agent Reasoning. ACL (Findings) 2026: 17259-17276 - [i8]Huipeng Ma, Luan Zhang, Dandan Song, Linmei Hu, Yuhang Tian, Jun Yang, Changzhi Zhou, Chenhao Li, Yizhou Jin, Xudong Li, Meng Lin, Mingxing Zhang, Shuhao Zhang:
ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models. CoRR abs/2601.07260 (2026) - [i7]Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt:
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR abs/2601.11868 (2026) - [i6]Luan Zhang, Dandan Song, Zhijing Wu, Zhengyu Chen, Chen Zhang, Yuhang Tian, Huipeng Ma, Chenhao Li, Changzhi Zhou, Xudong Li, Shuhao Zhang:
PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning. CoRR abs/2605.09931 (2026) - 2025
- [j3]Linmei Hu, Xinyu Zhang, Dandan Song, Changzhi Zhou, Hongyu He, Liqiang Nie:
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation. ACM Trans. Inf. Syst. 43(3): 59:1-59:29 (2025) - [c10]Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Xinyu Zhang, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin:
Revisit Self-Debugging with Self-Generated Tests for Code Generation. ACL (1) 2025: 18003-18023 - [c9]Yuhang Tian, Dandan Song, Zhijing Wu, Pan Yang, Changzhi Zhou, Jun Yang, Hao Wang, Huipeng Ma, Chenhao Li, Luan Zhang:
CompKBQA: Component-wise Task Decomposition for Knowledge Base Question Answering. EMNLP 2025: 293-309 - [c8]Xinyu Zhang, Changzhi Zhou, Linmei Hu, Luhao Zhang, Xiancai Chen, Haomin Fu, Yang Yang, Mengdi Zhang:
SCoder: Progressive Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs. EMNLP (Findings) 2025: 20825-20841 - [c7]Luan Zhang, Dandan Song, Zhijing Wu, Yuhang Tian, Changzhi Zhou, Jing Xu, Ziyi Yang, Shuhao Zhang:
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis. IJCAI 2025: 8357-8365 - [i5]Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin:
Revisit Self-Debugging with Self-Generated Tests for Code Generation. CoRR abs/2501.12793 (2025) - [i4]Changzhi Zhou, Xinyu Zhang, Dandan Song, Xiancai Chen, Wanli Gu, Huipeng Ma, Yuhang Tian, Mengdi Zhang, Linmei Hu:
RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation. CoRR abs/2502.09183 (2025) - [i3]Xinyu Zhang, Changzhi Zhou, Linmei Hu, Luhao Zhang, Xiancai Chen, Haomin Fu, Yang Yang, Mengdi Zhang:
SCoder: Iterative Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs. CoRR abs/2509.07858 (2025) - 2024
- [j2]Changzhi Zhou, Dandan Song, Zhijing Wu, Linmei Hu, Jing Xu, Yanru Zhou:
A multi-level multi-task progressive framework based on relational graph convolutional networks for causal emotion entailment. Knowl. Based Syst. 299: 112108 (2024) - [c6]Yading Li, Dandan Song, Changzhi Zhou, Yuhang Tian, Hao Wang, Ziyi Yang, Shuhao Zhang:
A Framework of Knowledge Graph-Enhanced Large Language Model Based on Question Decomposition and Atomic Retrieval. EMNLP (Findings) 2024: 11472-11485 - [c5]Yuhang Tian, Dandan Song, Zhijing Wu, Changzhi Zhou, Hao Wang, Jun Yang, Jing Xu, Ruanmin Cao, Haoyu Wang:
Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering. EMNLP (Findings) 2024: 11967-11977 - [c4]Jing Xu, Dandan Song, Siu Hui, Zhijing Wu, Meihuizi Jia, Hao Wang, Yanru Zhou, Changzhi Zhou, Ziyi Yang:
Separation and Fusion: A Novel Multiple Token Linking Model for Event Argument Extraction. NAACL-HLT 2024: 6611-6624 - [c3]Changzhi Zhou, Zhijing Wu, Dandan Song, Linmei Hu, Yuhang Tian, Jing Xu:
Span-Pair Interaction and Tagging for Dialogue-Level Aspect-Based Sentiment Quadruple Analysis. WWW 2024: 3995-4005 - [i2]Changzhi Zhou, Dandan Song, Yuhang Tian, Zhijing Wu, Hao Wang, Xinyu Zhang, Jun Yang, Ziyi Yang, Shuhao Zhang:
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis. CoRR abs/2412.02279 (2024) - 2023
- [j1]Jia Li, Dandan Song, Hao Wang, Zhijing Wu, Changzhi Zhou, Yanru Zhou:
Entity alignment for temporal knowledge graphs via adaptive graph networks. Knowl. Based Syst. 274: 110631 (2023) - 2022
- [c2]Changzhi Zhou, Siming Liu, Fei Huang, Qian Huang, Anbang Yan, Guocui Luo:
Weld Defect Detection and Recognition System Based on Static Point Cloud Technology. CICAI (3) 2022: 564-569 - [c1]Changzhi Zhou, Dandan Song, Jing Xu, Zhijing Wu:
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction. COLING 2022: 6726-6735 - [i1]Changzhi Zhou, Dandan Song, Jing Xu, Zhijing Wu:
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction. CoRR abs/2209.07972 (2022)
Coauthor Index
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