Shizhu He - RankMe

172 papers A* 21A 2B 8Misc 2Journal 73Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Knowledge Graphs - 14th International Joint Conference, IJCKG 2025, Heraklion, Crete, Greece, October 15-17, 2025, Proceedings IJCKG Hideaki Takeda, Yannis Tzitzikas, Giorgos Flouris, Shizhu He, Dimitris Plexousakis, Sébastien Ferré, Ran Yu, Vasilis Efthymiou, Eleni Ilkou, Ernesto Jiménez-Ruiz, Xin Wang
2026	J	`jnl`	ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning. CoRR Huanxuan Liao, Zhongtao Jiang, Yupu Hao, Yuqiao Tan, Shizhu He, Ben Wang, Jun Zhao, Kun Xu, Kang Liu
2026	A*	`conf`	Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence. AAAI Zhaoyang Wei, Guoliang Wang, Guohua Gao, Yanchao Hao, Mingda Li, Wenchao Ding, Xi Chen, Shizhu He, Xuehui Yu
2026	A*	`conf`	SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning. AAAI Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu
2026	A*	`conf`	TaREx: Reinforcement Learning for Code-Driven Table Reasoning. AAAI Fangyu Lei, Jinxiang Meng, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu
2026	J	`jnl`	WideSeek: Advancing Wide Research via Multi-Agent Scaling. CoRR Ziyang Huang, Haolin Ren, Xiaowei Yuan, Jiawei Wang, Zhongtao Jiang, Kun Xu, Shizhu He, Jun Zhao, Kang Liu
2025	J	`jnl`	A Comprehensive Survey on Long Context Language Modeling. CoRR Jiaheng Liu, Dawei Zhu, Zhiqi Bai, Yancheng He, Huanxuan Liao, Haoran Que, Zekun Wang, Chenchen Zhang, Ge Zhang, Jiebin Zhang, Yuanxing Zhang, Zhuo Chen, Hangyu Guo, Shilong Li, Ziqiang Liu, Yong Shan, Yifan Song, Jiayi Tian, Wenhao Wu, Zhejian Zhou, Ruijie Zhu, Junlan Feng, Yang Gao, Shizhu He, Zhoujun Li, Tianyu Liu, Fanyu Meng, Wenbo Su, Yingshui Tan, Zili Wang, Jian Yang, Wei Ye, Bo Zheng, Wangchunshu Zhou, Wenhao Huang, Sujian Li, Zhaoxiang Zhang
2025	J	`jnl`	Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN. CoRR Yao Xu, Mingyu Xu, Fangyu Lei, Wangtao Sun, Xiangrong Zeng, Bingning Wang, Guang Liu, Shizhu He, Jun Zhao, Kang Liu
2025	B	`conf`	Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering. COLING Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Shengping Liu, Kang Liu, Jun Zhao
2025	J	`jnl`	Better wit than wealth: Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement. CoRR Yuqiao Tan, Shizhu He, Huanxuan Liao, Jun Zhao, Kang Liu
2025	J	`jnl`	Beyond Hard and Soft: Hybrid Context Compression for Balancing Local and Global Information Retention. CoRR Huanxuan Liao, Wen Hu, Yao Xu, Shizhu He, Jun Zhao, Kang Liu
2025	—	`conf`	Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models. CCL Wangtao Sun, Chenxiang Zhang, Xueyou Zhang, Xuanqing Yu, Ziyang Huang, Haotian Xu, Shizhu He, Jun Zhao, Kang Liu
2025	J	`jnl`	Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies. CoRR Yuqiao Tan, Minzheng Wang, Shizhu He, Huanxuan Liao, Chengfeng Zhao, Qiunan Lu, Tian Liang, Jun Zhao, Kang Liu
2025	J	`jnl`	DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle. CoRR Fangyu Lei, Jinxiang Meng, Yiming Huang, Junjie Zhao, Yitong Zhang, Jianwen Luo, Xin Zou, Ruiyi Yang, Wenbo Shi, Yan Gao, Shizhu He, Zuo Wang, Qian Liu, Yang Wang, Ke Wang, Jun Zhao, Kang Liu
2025	J	`jnl`	DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning. CoRR Huanxuan Liao, Shizhu He, Yupu Hao, Jun Zhao, Kang Liu
2025	—	`conf`	From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs. COLING Workshops Wangtao Sun, Shizhu He, Jun Zhao, Kang Liu
2025	J	`jnl`	GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks. CoRR Jianwen Luo, Yiming Huang, Jinxiang Meng, Fangyu Lei, Shizhu He, Xiao Liu, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu
2025	A*	`conf`	HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking. AAAI Zeyong Zhao, Yanchao Hao, Minghao Zhang, Qingbin Liu, Bo Li, Dianbo Sui, Shizhu He, Xi Chen
2025	—	`conf`	KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model. EMNLP (System Demonstrations) Shun Wu, Di Wu, Wangtao Sun, Ziyang Huang, Xiaowei Yuan, Kun Luo, Xueyou Zhang, Shizhu He, Jun Zhao, Kang Liu
2025	—	`conf`	LLaSA: Large Language and Structured Data Assistant. NAACL (Long Papers) Yao Xu, Shizhu He, Jiabei Chen, ZengXiangrong ZengXiangrong, Bingning Wang, Guang Liu, Jun Zhao, Kang Liu
2025	—	`conf`	Multilingual Knowledge Graph Completion via Efficient Multilingual Knowledge Sharing. EMNLP (Findings) Cunli Mao, Xiaofei Gao, Ran Song, Shizhu He, Shengxiang Gao, Kang Liu, Zhengtao Yu
2025	J	`jnl`	Multilingual Knowledge Graph Completion via Efficient Multilingual Knowledge Sharing. CoRR Cunli Mao, Xiaofei Gao, Ran Song, Shizhu He, Shengxiang Gao, Kang Liu, Zhengtao Yu
2025	—	`conf`	Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models. ACL (1) Yuqiao Tan, Shizhu He, Kang Liu, Jun Zhao
2025	J	`jnl`	Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models. CoRR Yuqiao Tan, Shizhu He, Kang Liu, Jun Zhao
2025	A*	`conf`	Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. AAAI Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao
2025	J	`jnl`	Probabilistic Uncertain Reward Model: A Natural Generalization of Bradley-Terry Reward Model. CoRR Wangtao Sun, Xiang Cheng, Xing Yu, Haotian Xu, Zhao Yang, Shizhu He, Jun Zhao, Kang Liu
2025	—	`conf`	Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025. COLING Workshops Kang Liu, Yangqiu Song, Zhen Han, Rafet Sifa, Shizhu He, Yunfei Long
2025	J	`jnl`	Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning. CoRR Fangyu Lei, Jinxiang Meng, Yiming Huang, Tinghong Chen, Yun Zhang, Shizhu He, Jun Zhao, Kang Liu
2025	B	`conf`	SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. COLING Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Jun Zhao, Kang Liu
2025	—	`conf`	Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval. ACL (Findings) Jiabei Chen, Guang Liu, Shizhu He, Kun Luo, Yao Xu, Jun Zhao, Kang Liu
2025	J	`jnl`	Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning Patterns. CoRR Xiang Li, Haiyang Yu, Xinghua Zhang, Ziyang Huang, Shizhu He, Kang Liu, Jun Zhao, Fei Huang, Yongbin Li
2025	J	`jnl`	SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning. CoRR Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu
2025	J	`jnl`	The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning Models. CoRR Yuqiao Tan, Shizhu He, Kang Liu, Jun Zhao
2025	J	`jnl`	Towards Agentic Self-Learning LLMs in Search Environment. CoRR Wangtao Sun, Xiang Cheng, Jialin Fan, Yao Xu, Xing Yu, Shizhu He, Jun Zhao, Kang Liu
2025	J	`jnl`	VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models. CoRR Wangtao Sun, Haotian Xu, Huanxuan Liao, Xuanqing Yu, Zhongtao Jiang, Shizhu He, Jun Zhao, Kang Liu
2025	A*	`conf`	Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning. EMNLP Chengfeng Zhao, Shizhu He, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu
2024	—	`conf`	BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation. LREC/COLING Yuhong He, Yongqi Zhang, Shizhu He, Jun Wan
2024	J	`jnl`	BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation. CoRR Yuhong He, Yongqi Zhang, Shizhu He, Jun Wan
2024	J	`jnl`	Beyond Instruction Following: Evaluating Rule Following of Large Language Models. CoRR Wangtao Sun, Chenxiang Zhang, Xueyou Zhang, Ziyang Huang, Haotian Xu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu
2024	J	`jnl`	ControlLM: Crafting Diverse Personalities for Language Models. CoRR Yixuan Weng, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2024	A*	`conf`	DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. EMNLP Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu
2024	J	`jnl`	DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. CoRR Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu
2024	A*	`conf`	Does Large Language Model Contain Task-Specific Neurons? EMNLP Ran Song, Shizhu He, Shuting Jiang, Yantuan Xian, Shengxiang Gao, Kang Liu, Zhengtao Yu
2024	J	`jnl`	Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. CoRR Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
2024	J	`jnl`	From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs. CoRR Wangtao Sun, Shizhu He, Jun Zhao, Kang Liu
2024	A*	`conf`	From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. NeurIPS Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao
2024	J	`jnl`	From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. CoRR Huanxuan Liao, Yao Xu, Shizhu He, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao
2024	A*	`conf`	Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. EMNLP Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu
2024	J	`jnl`	Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering. CoRR Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Kang Liu, Jun Zhao
2024	J	`jnl`	Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models. CoRR Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Shengping Liu, Jun Zhao
2024	—	`conf`	Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization. EMNLP (Findings) Zhiqi Wang, Shizhu He, Kang Liu, Jun Zhao
2024	—	`conf`	ItD: Large Language Models Can Teach Themselves Induction through Deduction. ACL (1) Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu
2024	J	`jnl`	ItD: Large Language Models Can Teach Themselves Induction through Deduction. CoRR Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu
2024	J	`jnl`	LLaSA: Large Language and Structured Data Assistant. CoRR Yao Xu, Shizhu He, Xiangrong Zeng, Jiabei Chen, Guang Liu, Bingning Wang, Jun Zhao, Kang Liu
2024	—	`conf`	Large Language Models With Holistically Thought Could Be Better Doctors. NLPCC (2) Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Shengping Liu, Kang Liu, Shutao Li, Jun Zhao
2024	A*	`conf`	Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks. ICLR Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao
2024	—	`conf`	MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts. LREC/COLING Xiang Li, Shizhu He, Jiayu Wu, Zhao Yang, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao
2024	J	`jnl`	MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models. CoRR Tongxu Luo, Jiahe Lei, Fangyu Lei, Weihao Liu, Shizhu He, Jun Zhao, Kang Liu
2024	J	`jnl`	Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. CoRR Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao
2024	J	`jnl`	Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. CoRR Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao
2024	—	`conf`	S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model. NAACL-HLT Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu
2024	J	`jnl`	Seq2Set2Seq: A Two-stage Disentangled Method for Reply Keyword Generation in Social Media. ACM Trans. Asian Low Resour. Lang. Inf. Process. Jie Liu, Yaguang Li, Shizhu He, Shun Wu, Kang Liu, Shenping Liu, Jiong Wang, Qing Zhang
2024	—	`conf`	Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering. ACL (Findings) Xiang Li, Shizhu He, Fangyu Lei, JunYang JunYang, Tianhuang Su, Kang Liu, Jun Zhao
2024	J	`jnl`	Towards Better Quantity Representations for Solving Math Word Problems. ACM Trans. Asian Low Resour. Lang. Inf. Process. Runxin Sun, Shizhu He, Jun Zhao, Kang Liu
2024	—	`conf`	Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. LREC/COLING Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Haifeng Liu, Yang jun Jun, Jun Zhao
2024	Misc	`conf`	Unsupervised Learning of Neural Semantic Mappings with the Hungarian Algorithm for Compositional Semantics. ICASSP Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao
2023	J	`jnl`	A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development. IEEE CAA J. Autom. Sinica Tianyu Wu, Shizhu He, Jingping Liu, Siqi Sun, Kang Liu, Qing-Long Han, Yang Tang
2023	J	`jnl`	Bidirectional Sentence Ordering with Interactive Decoding. ACM Trans. Asian Low Resour. Lang. Inf. Process. Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2023	—	`conf`	Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. EMNLP (Findings) Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li
2023	J	`jnl`	Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. CoRR Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li
2023	—	`conf`	Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. ACL (Findings) Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen
2023	—	`conf`	Efficient Data Learning for Open Information Extraction with Pre-trained Language Models. EMNLP (Findings) Zhiyuan Fan, Shizhu He
2023	J	`jnl`	Efficient Data Learning for Open Information Extraction with Pre-trained Language Models. CoRR Zhiyuan Fan, Shizhu He
2023	J	`jnl`	ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook. CoRR Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu
2023	—	`conf`	ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook. EMNLP (Findings) Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu
2023	A	`conf`	Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. EACL Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
2023	J	`jnl`	HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering. CoRR Tongxu Luo, Fangyu Lei, Jiahe Lei, Weihao Liu, Shizhu He, Jun Zhao, Kang Liu
2023	J	`jnl`	Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules. CoRR Yinyu Lan, Shizhu He, Kang Liu, Jun Zhao
2023	J	`jnl`	LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models. CoRR Yixuan Weng, Zhiqi Wang, Huanxuan Liao, Shizhu He, Shengping Liu, Kang Liu, Jun Zhao
2023	J	`jnl`	Large Language Models Need Holistically Thought in Medical Conversational QA. CoRR Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao
2023	—	`conf`	Large Language Models are Better Reasoners with Self-Verification. EMNLP (Findings) Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao
2023	Misc	`conf`	Learning to Build Reasoning Chains by Reliable Path Retrieval. ICASSP Minjun Zhu, Yixuan Weng, Shizhu He, Cunguang Wang, Kang Liu, Li Cai, Jun Zhao
2023	J	`jnl`	MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images. CoRR Weihao Liu, Fangyu Lei, Tongxu Luo, Jiahe Lei, Shizhu He, Jun Zhao, Kang Liu
2023	—	`conf`	Multi-Target Semantic Parsing with Collaborative Deliberation Network. IJCNLP (Findings) Xiang Li, Fangyu Lei, Shizhu He, Kang Liu, Jun Zhao
2023	—	`conf`	Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. ACL (Findings) Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao
2023	J	`jnl`	Neural Comprehension: Language Models with Compiled Neural Networks. CoRR Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao
2023	B	`conf`	On the Effects of Structural Modeling for Neural Semantic Parsing. CoNLL Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao
2023	—	`conf`	Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network. ACL (Findings) Yao Xu, Shizhu He, Li Cai, Kang Liu, Jun Zhao
2023	—	`conf`	Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. EMNLP (Findings) Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao
2023	J	`jnl`	Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. CoRR Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao
2023	J	`jnl`	S CoRR Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu
2023	J	`jnl`	S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models. CoRR Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu
2023	—	`conf`	S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. ACL (2) Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu
2023	J	`jnl`	TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering. CoRR Fangyu Lei, Tongxu Luo, Pengqi Yang, Weihao Liu, Hanwen Liu, Jiahe Lei, Yiming Huang, Yifan Wei, Shizhu He, Jun Zhao, Kang Liu
2023	J	`jnl`	Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. CoRR Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
2023	J	`jnl`	Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network. J. Comput. Sci. Technol. Qingbin Liu, Shizhu He, Cao Liu, Kang Liu, Jun Zhao
2023	J	`jnl`	Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision. J. Comput. Sci. Technol. Guirong Bai, Qingbin Liu, Shizhu He, Kang Liu, Jun Zhao
2022	—	`conf`	ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. SDU@AAAI Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He
2022	—	`conf`	ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion. SDU@AAAI Fei Xia, Bin Li, Yixuan Weng, Xiusheng Huang, Shizhu He
2022	B	`conf`	Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. COLING Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu
2022	J	`jnl`	Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. CoRR Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu
2022	B	`conf`	Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts. COLING Ran Song, Shizhu He, Suncong Zheng, Shengxiang Gao, Kang Liu, Zhengtao Yu, Jun Zhao
2022	J	`jnl`	Example-guided stylized response generation in zero-shot setting. Sci. China Inf. Sci. Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2022	J	`jnl`	Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang
2022	—	`conf`	Incremental Intent Detection for Medical Domain with Contrast Replay Networks. ACL (Findings) Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2022	J	`jnl`	Large Language Models are reasoners with Self-Verification. CoRR Yixuan Weng, Minjun Zhu, Shizhu He, Kang Liu, Jun Zhao
2022	—	`conf`	Learning to Answer Complex Visual Questions from Multi-View Analysis. CCKS (Evaluation Track) Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
2022	—	`conf`	Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing. ACL (2) Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, Kang Liu
2022	—	`conf`	LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary. SemEval@NAACL Bin Li, Yixuan Weng, Fei Xia, Shizhu He, Bin Sun, Shutao Li
2022	—	`conf`	LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer. SemEval@NAACL Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Bin Sun, Shutao Li, Kang Liu, Jun Zhao
2022	J	`jnl`	LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs. CoRR Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao
2022	—	`conf`	MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs. EMNLP (Demos) Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao
2022	J	`jnl`	ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains. CoRR Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
2022	J	`jnl`	Using Pre-trained Language Model to Enhance Active Learning for Sentence Matching. ACM Trans. Asian Low Resour. Lang. Inf. Process. Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2021	J	`jnl`	A Unified Shared-Private Network with Denoising for Dialogue State Tracking. J. Comput. Sci. Technol. Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2021	J	`jnl`	ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. CoRR Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He, Kang Liu, Jun Zhao
2021	—	`ed.`	Chinese Computational Linguistics - 20th China National Conference, CCL 2021, Hohhot, China, August 13-15, 2021, Proceedings CCL Sheng Li, Maosong Sun, Yang Liu, Hua Wu, Kang Liu, Wanxiang Che, Shizhu He, Gaoqi Rao
2021	—	`conf`	Does BERT Know Which Answer Beyond the Question? CCKS (Evaluation Track) Fei Xia, Yixuan Weng, Maojin Xia, Qiang Yu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2021	—	`conf`	Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks. EMNLP (1) Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao
2021	J	`jnl`	Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue. Knowl. Based Syst. Qingbin Liu, Guirong Bai, Shizhu He, Cao Liu, Kang Liu, Jun Zhao
2021	J	`jnl`	Lifelong Intent Detection via Multi-Strategy Rebalancing. CoRR Qingbin Liu, Xiaoyan Yu, Shizhu He, Kang Liu, Jun Zhao
2021	—	`conf`	Multi-strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension. CCL Xiaoyan Yu, Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao, Yongbin Zhou
2021	J	`jnl`	Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. CoRR Yinyu Lan, Shizhu He, Xiangrong Zeng, Shengping Liu, Kang Liu, Jun Zhao
2021	J	`jnl`	Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. BMC Medical Informatics Decis. Mak. Yinyu Lan, Shizhu He, Kang Liu, Xiangrong Zeng, Shengping Liu, Jun Zhao
2021	—	`conf`	Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances. CCKS Fei Xia, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2020	—	`ed.`	Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30 - November 1, 2020, Proceedings CNCL Maosong Sun, Sujian Li, Yue Zhang, Yang Liu, Shizhu He, Gaoqi Rao
2020	B	`conf`	Pre-trained Language Model Based Active Learning for Sentence Matching. COLING Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie
2020	J	`jnl`	Pre-trained Language Model Based Active Learning for Sentence Matching. CoRR Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie
2019	—	`conf`	AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing. ACL (1) Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao
2019	J	`jnl`	Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking. CoRR Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2019	—	`conf`	Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. EMNLP/IJCNLP (1) Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao
2019	J	`jnl`	Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. CoRR Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao
2019	B	`conf`	Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. CoNLL Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao
2019	J	`jnl`	Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. CoRR Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao
2019	—	`conf`	Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning. EMNLP/IJCNLP (1) Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao
2019	A*	`conf`	Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks. AAAI Shizhu He, Kang Liu, Weiting An
2019	—	`conf`	Utterance Alignment in Custom Service by Integer Programming. CCL Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2019	—	`conf`	Variational Attention for Commonsense Knowledge Aware Conversation Generation. NLPCC (1) Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2019	—	`conf`	Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation. ACL (1) Cao Liu, Shizhu He, Kang Liu, Jun Zhao
2018	A*	`conf`	Curriculum Learning for Natural Answer Generation. IJCAI Cao Liu, Shizhu He, Kang Liu, Jun Zhao
2018	—	`conf`	Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism. ACL (1) Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, Jun Zhao
2018	A*	`conf`	Large Scaled Relation Extraction With Reinforcement Learning. AAAI Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao
2018	—	`conf`	Learning to Detect Verbose Expressions in Spoken Texts. CCL Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2018	B	`conf`	Pattern-revising Enhanced Simple Question Answering over Knowledge Bases. COLING Yanchao Hao, Hao Liu, Shizhu He, Kang Liu, Jun Zhao
2017	—	`conf`	An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge. ACL (1) Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao
2017	A*	`conf`	Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. AAAI Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao
2017	—	`conf`	Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning. ACL (1) Shizhu He, Cao Liu, Kang Liu, Jun Zhao
2017	—	`conf`	IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations. IJCNLP (Shared Tasks) Shangmin Guo, Kang Liu, Shizhu He, Cao Liu, Jun Zhao, Zhuoyu Wei
2017	—	`conf`	Unsupervised Joint Entity Linking over Question Answering Pair with Global Knowledge. CCL Cao Liu, Shizhu He, Hang Yang, Kang Liu, Jun Zhao
2017	—	`conf`	Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? EACL (1) Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao
2016	—	`conf`	A Joint Embedding Method for Entity Alignment of Knowledge Bases. CCKS Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao
2016	A*	`conf`	A Joint Model for Question Answering over Multiple Knowledge Bases. AAAI Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao
2016	A*	`conf`	A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification. AAAI Shulin Liu, Kang Liu, Shizhu He, Jun Zhao
2016	A*	`conf`	Employing External Rich Knowledge for Machine Comprehension. IJCAI Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao
2016	—	`conf`	Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks. CCL Yubo Chen, Shulin Liu, Shizhu He, Kang Liu, Jun Zhao
2016	J	`jnl`	How to Generate a Good Word Embedding. IEEE Intell. Syst. Siwei Lai, Kang Liu, Shizhu He, Jun Zhao
2016	A*	`conf`	Knowledge Graph Completion with Adaptive Sparse Transfer Matrix. AAAI Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao
2016	A*	`conf`	Learning to Represent Review with Tensor Decomposition for Spam Detection. EMNLP Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao
2016	—	`conf`	Leveraging FrameNet to Improve Automatic Event Detection. ACL (1) Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao
2016	—	`conf`	Link Prediction via Mining Markov Logic Formulas to Improve Social Recommendation. CCKS Zhuoyu Wei, Jun Zhao, Kang Liu, Shizhu He
2016	J	`jnl`	Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information. CoRR Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, Jun Zhao
2015	—	`conf`	Knowledge Graph Embedding via Dynamic Mapping Matrix. ACL (1) Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao
2015	A	`conf`	Learning to Represent Knowledge Graphs with Gaussian Embedding. CIKM Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao
2015	J	`jnl`	Question Answering over Knowledge Bases. IEEE Intell. Syst. Kang Liu, Jun Zhao, Shizhu He, Yuanzhe Zhang
2014	—	`conf`	CASIA@V2: A MLN-based Question Answering System over Linked Data. CLEF (Working Notes) Shizhu He, Yuanzhe Zhang, Kang Liu, Jun Zhao
2014	—	`conf`	Ontology Matching with Word Embeddings. CCL Yuanzhe Zhang, Xuepeng Wang, Siwei Lai, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv
2014	A*	`conf`	Question Answering over Linked Data Using First-order Logic. EMNLP Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao
2013	—	`conf`	CASIA@QALD-3: A Question Answering System over Linked Data. CLEF (Working Notes) Shizhu He, Shulin Liu, Yubo Chen, Guangyou Zhou, Kang Liu, Jun Zhao
2013	—	`conf`	IAMA results for OAEI 2013. OM Yuanzhe Zhang, Xuepeng Wang, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv
2013	—	`conf`	Open Relation Mapping Based on Instances and Semantics Expansion. AIRS Fang Liu, Shizhu He, Shulin Liu, Guangyou Zhou, Kang Liu, Jun Zhao
2013	—	`conf`	Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization. ACL (1) Guangyou Zhou, Fang Liu, Yang Liu, Shizhu He, Jun Zhao
2013	—	`conf`	The CASIA Entity linking System at TAC 2013. TAC Yubo Chen, Guangyou Zhou, Liheng Xu, Shizhu He, Kang Liu, Jun Zhao