| 2026 | AAAI | TaREx: Reinforcement Learning for Code-Driven Table Reasoning. | Fangyu Lei, Jinxiang Meng, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu |
| 2026 | AAAI | SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning. | Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu |
| 2026 | AAAI | Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence. | Zhaoyang Wei, Guoliang Wang, Guohua Gao, Yanchao Hao, Mingda Li, Wenchao Ding, Xi Chen, Shizhu He, Xuehui Yu |
| 2026 | ACL | Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs. | Jinhui Chen, Shizhu He, Xingchang Yang, Huanxuan Liao, Yequan Wang, Xiangwen Liao, Wenhao Teng, Kang Liu, Jun Zhao |
| 2026 | ACL | Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs. | Huanxuan Liao, Shizhu He, Yupu Hao, Yequan Wang, Wenhao Teng, Xiangwen Liao, Jun Zhao, Kang Liu |
| 2026 | ACL | GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks. | Jianwen Luo, Yiming Huang, Jinxiang Meng, Fangyu Lei, Shizhu He, Xiao Liu, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu |
| 2026 | ACL | Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum Learning. | Zhu Min, Yanchao Hao, Jian Liu, Shizhu He, Xi Chen |
| 2026 | ACL | Shuttle Between Symbolic Instructions and Neural Parameters of Large Language Models. | Wangtao Sun, Haotian Xu, Huanxuan Liao, Xuanqing Yu, Zhongtao Jiang, Shizhu He, Jun Zhao, Kang Liu |
| 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 | AAAI | HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking. | Zeyong Zhao, Yanchao Hao, Minghao Zhang, Qingbin Liu, Bo Li, Dianbo Sui, Shizhu He, Xi Chen |
| 2025 | ACL | Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval. | Jiabei Chen, Guang Liu, Shizhu He, Kun Luo, Yao Xu, Jun Zhao, Kang Liu |
| 2025 | ACL | Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models. | Yuqiao Tan, Shizhu He, Kang Liu, Jun Zhao |
| 2025 | COLING | Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025. | Kang Liu, Yangqiu Song, Zhen Han, Rafet Sifa, Shizhu He, Yunfei Long |
| 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 | COLING | From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs. | Wangtao Sun, Shizhu He, Jun Zhao, Kang Liu |
| 2025 | EMNLP | Multilingual Knowledge Graph Completion via Efficient Multilingual Knowledge Sharing. | Cunli Mao, Xiaofei Gao, Ran Song, Shizhu He, Shengxiang Gao, Kang Liu, Zhengtao Yu |
| 2025 | EMNLP | KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model. | Shun Wu, Di Wu, Wangtao Sun, Ziyang Huang, Xiaowei Yuan, Kun Luo, Xueyou Zhang, Shizhu He, Jun Zhao, Kang Liu |
| 2025 | EMNLP | Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning. | Chengfeng Zhao, Shizhu He, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu |
| 2025 | NAACL | LLaSA: Large Language and Structured Data Assistant. | Yao Xu, Shizhu He, Jiabei Chen, ZengXiangrong ZengXiangrong, Bingning Wang, Guang Liu, Jun Zhao, Kang Liu |
| 2024 | ACL | Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering. | Xiang Li, Shizhu He, Fangyu Lei, JunYang JunYang, Tianhuang Su, Kang Liu, Jun Zhao |
| 2024 | ACL | ItD: Large Language Models Can Teach Themselves Induction through Deduction. | Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu |
| 2024 | COLING | BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation. | Yuhong He, Yongqi Zhang, Shizhu He, Jun Wan |
| 2024 | COLING | MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts. | Xiang Li, Shizhu He, Jiayu Wu, Zhao Yang, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao |
| 2024 | COLING | Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. | Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Haifeng Liu, Yang jun Jun, Jun Zhao |
| 2024 | EMNLP | DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. | Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu |
| 2024 | EMNLP | Does Large Language Model Contain Task-Specific Neurons? | Ran Song, Shizhu He, Shuting Jiang, Yantuan Xian, Shengxiang Gao, Kang Liu, Zhengtao Yu |
| 2024 | EMNLP | Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization. | Zhiqi Wang, Shizhu He, Kang Liu, Jun Zhao |
| 2024 | EMNLP | Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. | Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu |
| 2024 | ICASSP | Unsupervised Learning of Neural Semantic Mappings with the Hungarian Algorithm for Compositional Semantics. | Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
| 2024 | ICLR | Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks. | Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao |
| 2024 | NAACL | S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model. | Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu |
| 2023 | ACL | S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. | Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu |
| 2023 | ACL | Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. | Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen |
| 2023 | ACL | Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. | Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao |
| 2023 | ACL | Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network. | Yao Xu, Shizhu He, Li Cai, Kang Liu, Jun Zhao |
| 2023 | CoNLL | On the Effects of Structural Modeling for Neural Semantic Parsing. | Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
| 2023 | EACL | Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. | Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao |
| 2023 | EMNLP | Efficient Data Learning for Open Information Extraction with Pre-trained Language Models. | Zhiyuan Fan, Shizhu He |
| 2023 | EMNLP | Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. | Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li |
| 2023 | EMNLP | ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook. | Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu |
| 2023 | EMNLP | Large Language Models are Better Reasoners with Self-Verification. | Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao |
| 2023 | EMNLP | Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. | Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao |
| 2023 | ICASSP | Learning to Build Reasoning Chains by Reliable Path Retrieval. | Minjun Zhu, Yixuan Weng, Shizhu He, Cunguang Wang, Kang Liu, Li Cai, Jun Zhao |
| 2023 | IJCNLP | Multi-Target Semantic Parsing with Collaborative Deliberation Network. | Xiang Li, Fangyu Lei, Shizhu He, Kang Liu, Jun Zhao |
| 2022 | AAAI | ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. | Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He |
| 2022 | AAAI | ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion. | Fei Xia, Bin Li, Yixuan Weng, Xiusheng Huang, Shizhu He |
| 2022 | ACL | Incremental Intent Detection for Medical Domain with Contrast Replay Networks. | Guirong Bai, Shizhu He, Kang Liu, Jun Zhao |
| 2022 | ACL | Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing. | Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, Kang Liu |
| 2022 | COLING | Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. | Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu |
| 2022 | COLING | Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts. | Ran Song, Shizhu He, Suncong Zheng, Shengxiang Gao, Kang Liu, Zhengtao Yu, Jun Zhao |
| 2022 | EMNLP | MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs. | Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao |
| 2021 | EMNLP | Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks. | Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao |
| 2020 | COLING | Pre-trained Language Model Based Active Learning for Sentence Matching. | Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie |
| 2019 | AAAI | Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks. | Shizhu He, Kang Liu, Weiting An |
| 2019 | ACL | Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation. | Cao Liu, Shizhu He, Kang Liu, Jun Zhao |
| 2019 | ACL | AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing. | Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
| 2019 | CoNLL | Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. | Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao |
| 2019 | EMNLP | Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. | Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao |
| 2019 | EMNLP | Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning. | Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao |
| 2018 | AAAI | Large Scaled Relation Extraction With Reinforcement Learning. | Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao |
| 2018 | ACL | Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism. | Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, Jun Zhao |
| 2018 | COLING | Pattern-revising Enhanced Simple Question Answering over Knowledge Bases. | Yanchao Hao, Hao Liu, Shizhu He, Kang Liu, Jun Zhao |
| 2018 | IJCAI | Curriculum Learning for Natural Answer Generation. | Cao Liu, Shizhu He, Kang Liu, Jun Zhao |
| 2017 | AAAI | Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. | Guoliang Ji, Kang Liu, Shizhu He, 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 |
| 2017 | ACL | Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning. | Shizhu He, Cao Liu, Kang Liu, Jun Zhao |
| 2017 | EACL | Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? | Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao |
| 2017 | IJCNLP | IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations. | Shangmin Guo, Kang Liu, Shizhu He, Cao Liu, Jun Zhao, Zhuoyu Wei |
| 2016 | AAAI | Knowledge Graph Completion with Adaptive Sparse Transfer Matrix. | Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao |
| 2016 | AAAI | A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification. | Shulin Liu, Kang Liu, Shizhu He, Jun Zhao |
| 2016 | AAAI | A Joint Model for Question Answering over Multiple Knowledge Bases. | Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao |
| 2016 | ACL | Leveraging FrameNet to Improve Automatic Event Detection. | Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao |
| 2016 | EMNLP | Learning to Represent Review with Tensor Decomposition for Spam Detection. | Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao |
| 2016 | IJCAI | Employing External Rich Knowledge for Machine Comprehension. | Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao |
| 2015 | ACL | Knowledge Graph Embedding via Dynamic Mapping Matrix. | Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao |
| 2015 | CIKM | Learning to Represent Knowledge Graphs with Gaussian Embedding. | Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao |
| 2014 | EMNLP | Question Answering over Linked Data Using First-order Logic. | Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao |
| 2013 | ACL | Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization. | Guangyou Zhou, Fang Liu, Yang Liu, Shizhu He, Jun Zhao |