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He, Shizhu

  1. Large Language Models are Better Reasoners with Self-Verification
    2022/12/19 by Yixuan Weng, Minjun Zhu, Weng, Yixuan +11 · 83 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  2. Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
    2024/04/23 by Xu Yao, Xu, Yao, Shizhu He +13 · 25 citations
    Computer Science · #Semantic Web and Ontologies #Topic Modeling #Advanced Graph Neural Networks
  3. MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
    2024/02/20 by Tongxu Luo, Jiahe Lei, Luo, Tongxu +11 · 20 citations
    Computer Science · #Computation and Language (cs.CL) #Expert finding and Q&A systems #FOS: Computer and information sciences #Topic Modeling
  4. A Comprehensive Survey on Long Context Language Modeling
    2025/03/20 by Jiaheng Liu, Liu, Jiaheng, Dawei Zhu +70 · 49 citations
    Computer Science · #Big Data and Digital Economy #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
  5. DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
    2024/10/09 by Huang, Yiming, Luo, Jianwen, Yu, Yan +8 · 24 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  6. MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images
    2023/09/09 by Weihao Liu, Fangyu Lei, Liu, Weihao +11 · 6 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
  7. Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models
    2024/07/11 by Wangtao Sun, Chenxiang Zhang, Sun, Wangtao +16 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
  8. Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
    2024/09/20 by Huanxuan Liao, Shizhu He, Liao, Huanxuan +9 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Topic Modeling
  9. Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
    2023/04/04 by Yixuan Weng, Minjun Zhu, Weng, Yixuan +11 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  10. ControlLM: Crafting Diverse Personalities for Language Models
    2024/02/15 by Weng, Yixuan, He, Shizhu, Liu, Kang +2 · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  11. Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
    2025/03/31 by Tan, Yuqiao, He, Shizhu, Liao, Huanxuan +2 · 9 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  12. S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering
    2023/05/19 by Fangyu Lei, Lei, Fangyu, Xiang Li +11 · 3 citations
    Computer Science · #Topic Modeling #Expert finding and Q&A systems #Multimodal Machine Learning Applications
  13. S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models
    2023/10/23 by Fangyu Lei, Lei, Fangyu, Qian Liu +9 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  14. Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering
    2024/03/22 by Huanxuan Liao, Liao, Huanxuan, Shizhu He +11 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Speech and dialogue systems #Topic Modeling
  15. BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation
    2024/03/28 by Yuhong He, He, Yuhong, Yongqi Zhang +5 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  16. SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
    2024/09/20 by Huanxuan Liao, Shizhu He, Liao, Huanxuan +10 · 5 citations
    Computer Science · #Topic Modeling
  17. DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning
    2025/02/17 by Huanxuan Liao, Shizhu He, Liao, Huanxuan +6 · 4 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Analog and Mixed-Signal Circuit Design #Neural Networks and Applications
  18. Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information
    2016/06/03 by Yuanzhe Zhang, Kang Liu, Zhang, Yuanzhe +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  19. Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning
    2025/06/02 by Fangyu Lei, Lei, Fangyu, Yiming Huang +12 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Software Engineering Research
  20. From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
    2024/06/18 by Huanxuan Liao, Shizhu He, Liao, Huanxuan +13 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Online Learning and Analytics
  21. Lifelong Intent Detection via Multi-Strategy Rebalancing
    2021/08/10 by Qingbin Liu, Xiaoyan Yu, Liu, Qingbin +7 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Computation and Language (cs.CL) #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  22. Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder
    2022/09/16 by Fangyu Lei, Lei, Fangyu, Shizhu He +7 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  23. Large Language Models Need Holistically Thought in Medical Conversational QA
    2023/05/09 by Weng, Yixuan, Li, Bin, Xia, Fei +5 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  24. ItD: Large Language Models Can Teach Themselves Induction through Deduction
    2024/03/09 by Wangtao Sun, Haotian Xu, Sun, Wangtao +11 · 2 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  25. LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models
    2023/08/20 by Weng, Yixuan, Wang, Zhiqi, Liao, Huanxuan +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  26. From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs
    2024/03/08 by Wangtao Sun, Shizhu He, Sun, Wangtao +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Semantic Web and Ontologies
  27. Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model
    2024/06/25 by Xia, Fei, Weng, Yixuan, He, Shizhu +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  28. GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
    2025/02/20 by Luo, Jianwen, Huang, Yiming, Meng, Jinxiang +7 · 2 citations
    #68T50 #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7
  29. Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints
    2024/06/26 by Song, Ran, He, Shizhu, Gao, Shengxiang +4 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  30. Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
    2025/05/20 by Yuqiao Tan, Tan, Yuqiao, Shizhu He +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  31. ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook
    2023/11/13 by Sun, Wangtao, Yu, Xuanqing, He, Shizhu +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  32. TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering
    2023/10/23 by Lei, Fangyu, Luo, Tongxu, Yang, Pengqi +8 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  33. Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning Patterns
    2025/05/29 by Li, Xiang, Yu, Haiyang, Zhang, Xinghua +6 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences