| 2026 | ACL | SudokuFill: A Multi-Agent Progressive Filling Framework for Document-Level Scientific Information Extraction. | Yang Li, Yajiao Wang, Yu Zhang, Yuanzhe Zhang, Maodi Hu, Mengting Zhang, Xi Sun, Hua Yue, Zhixiong Zhang |
| 2026 | ACL | Datasets for Scientific Literature Understanding: A Survey. | Yuanzhe Zhang, Xun Zhao, Maodi Hu, Xi Sun, Donghuan Song, Zhixiong Zhang |
| 2026 | ACL | Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMs. | Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu, Daojian Zeng, Kang Liu, Jun Zhao |
| 2026 | ICDCS | GumSwap: Griefing-Free Universal Multi-Party Atomic Swaps. | Dongkun Hou, Yuanzhe Zhang, Shujie Cui, Tsz Hon Yuen, Joseph K. Liu, Jiangshan Yu |
| 2025 | AAAI | Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. | Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao |
| 2025 | COLING | SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. | Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Jun Zhao, Kang Liu |
| 2025 | COLING | Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering. | Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Shengping Liu, Kang Liu, Jun Zhao |
| 2025 | ICASSP | WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models. | Jian Liu, Kangyun Ning, Yisong Su, Wenjuan Han, Jinan Xu, Yuanzhe Zhang |
| 2025 | ICDCS | Mosaic: Client-driven Account Allocation Framework in Sharded Blockchains. | Yuanzhe Zhang, Shirui Pan, Jiangshan Yu |
| 2024 | CIKM | Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. | Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu |
| 2024 | EMNLP | On the In-context Generation of Language Models. | Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu |
| 2023 | ACL | Interpreting Sentiment Composition with Latent Semantic Tree. | Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu |
| 2023 | ACL | A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. | Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao |
| 2023 | EMNLP | Generative Calibration for In-context Learning. | Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu |
| 2023 | EMNLP | MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. | Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu |
| 2023 | EMNLP | Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. | Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu |
| 2023 | ICDE | TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. | Yuanzhe Zhang, Shirui Pan, Jiangshan Yu |
| 2023 | ICONIP | Vessel Behavior Anomaly Detection Using Graph Attention Network. | Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu |
| 2022 | ACL | Logic Traps in Evaluating Attribution Scores. | Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao |
| 2022 | COLING | CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. | Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao |
| 2021 | ACL | Alignment Rationale for Natural Language Inference. | Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu |
| 2021 | EMNLP | Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations. | Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao |
| 2021 | EMNLP | Biomedical Concept Normalization by Leveraging Hypernyms. | Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu |
| 2020 | AAAI | Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding. | Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao |
| 2020 | ACL | MIE: A Medical Information Extractor towards Medical Dialogues. | Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao |
| 2020 | EMNLP | Scene Restoring for Narrative Machine Reading Comprehension. | Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng |
| 2020 | ICONIP | Correlation-Aware Next Basket Recommendation Using Graph Attention Networks. | Yuanzhe Zhang, Ling Luo, Jianjia Zhang, Qiang Lu, Yang Wang, Zhiyong Wang |
| 2020 | PAKDD | FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior. | Yuanzhe Zhang, Ling Luo, Yang Wang, Zhiyong Wang |
| 2019 | EMNLP | Machine Reading Comprehension Using Structural Knowledge Graph-aware Network. | Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao |
| 2017 | ACL | An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge. | Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao |
| 2016 | AAAI | A Joint Model for Question Answering over Multiple Knowledge Bases. | Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao |
| 2014 | EMNLP | Question Answering over Linked Data Using First-order Logic. | Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao |