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Li, Shiyang

  1. TabFact: A Large-scale Dataset for Table-based Fact Verification
    2019/09/05 by Wenhu Chen, Hongmin Wang, Chen, Wenhu +13 · 51 citations
    Computer Science · #Advanced Text Analysis Techniques #Topic Modeling #Time Series Analysis and Forecasting
  2. Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
    2019/06/29 by Shiyang Li, Li, Shiyang, Xiaoyong Jin +11 · 31 citations
    Computer Science · Decision Sciences · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  3. ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering
    2022/10/07 by Zhiyu Chen, Shiyang Li, Chen, Zhiyu +9 · 33 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Text Analysis Techniques
  4. AlpaGasus: Training A Better Alpaca with Fewer Data
    2023/07/17 by Lichang Chen, Shiyang Li, Chen, Lichang +19 · 30 citations
    Computer Science · #Video Analysis and Summarization
  5. Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
    2023/07/31 by Jun Yan, Yan, Jun, Vikas Yadav +15 · 29 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Topic Modeling #Ferroelectric and Negative Capacitance Devices
  6. Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
    2023/03/01 by Zekun Li, Li, Zekun, Shiyang Li +3 · 14 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Non-Invasive Vital Sign Monitoring #Time Series Analysis and Forecasting
  7. Data Diversity Matters for Robust Instruction Tuning
    2023/11/21 by Alexander Bukharin, Bukharin, Alexander, Li, Shiyang +7 · 13 citations
    Mathematics · Psychology · #Behavioral and Psychological Studies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Statistics Education and Methodologies
  8. MEMORYLLM: Towards Self-Updatable Large Language Models
    2024/02/07 by Yu Wang, Wang, Yu, Gao, Yifan +13 · 12 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  9. Explanations from Large Language Models Make Small Reasoners Better
    2022/10/13 by Shiyang Li, Jianshu Chen, Li, Shiyang +21 · 9 citations
    Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Natural Language Processing Techniques
  10. Graph Reasoning for Question Answering with Triplet Retrieval
    2023/05/30 by Shiyang Li, Yifan Gao, Li, Shiyang +13 · 7 citations
    Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  11. IHEval: Evaluating Language Models on Following the Instruction Hierarchy
    2025/02/12 by Zhang, Zhihan, Li, Shiyang, Zhang, Zixuan +11 · 12 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  12. Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
    2022/10/18 by Zhang, Xinlu, Li, Shiyang, Chen, Zhiyu +2 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Instruction-following Evaluation through Verbalizer Manipulation
    2023/07/20 by Li, Shiyang, Yan, Jun, Wang, Hai +4 · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  14. Controllable Dialogue Simulation with In-Context Learning
    2022/10/09 by Li, Zekun, Chen, Wenhu, Li, Shiyang +3 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  15. Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs
    2024/07/31 by Kewei Cheng, Jingfeng Yang, Cheng, Kewei +21 · 3 voices · 5 citations
    #cs.AI
  16. Limitations of Language Models in Arithmetic and Symbolic Induction
    2022/08/09 by Qian Jing, Qian, Jing, Hong Wang +7 · 3 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
  17. Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach
    2019/09/20 by Li, Shiyang, Chen, Jianshu, Yu, Dian · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
    2023/05/22 by Xinlu Zhang, Zhang, Xinlu, Shiyang Li +8 · 3 citations
    Computer Science · #Machine Learning in Healthcare
  19. CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
    2020/10/24 by Li, Shiyang, Yavuz, Semih, Hashimoto, Kazuma +6 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  20. Can Language Models Follow Multiple Turns of Entangled Instructions?
    2025/03/17 by Han, Chi, Liu, Xin, Wang, Haodong +12 · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  21. RNR: Teaching Large Language Models to Follow Roles and Rules
    2024/09/10 by Kuan Wang, Wang, Kuan, Alexander Bukharin +20 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Natural Language Processing Techniques #Topic Modeling
  22. CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization
    2025/10/23 by Zijian Zhang, Rong Wang, Zhang, Zijian +8 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Parallel Computing and Optimization Techniques #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)