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Shi Feng

  1. Calibrate Before Use: Improving Few-Shot Performance of Language Models
    2021/02/19 by Tony Z. Zhao, Zhao, Tony Z., Eric Wallace +7 · 2 voices · 113 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.LG
  2. Unsupervised Elicitation of Language Models
    2025/06/11 by Jiaxin Wen, Wen, Jiaxin, Zachary Ankner +23 · 15 voices · 4 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Machine Learning and Data Classification
  3. LLM Evaluators Recognize and Favor Their Own Generations
    2024/04/15 by Arjun Panickssery, Samuel R. Bowman, Panickssery, Arjun +3 · 4 voices · 101 citations
    #cs.CL #cs.AI
  4. Language Models Learn to Mislead Humans via RLHF
    2024/09/19 by Jiaxin Wen, Ruiqi Zhong, Wen, Jiaxin +15 · 8 voices · 19 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling
  5. Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong
    2023/10/19 by Chenglei Si, Navita Goyal, Si, Chenglei +12 · 1 voice · 9 citations
    Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.HC
  6. What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play
    2018/10/23 by Shi Feng, Feng, Shi, Jordan Boyd‐Graber +1 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Reinforcement Learning in Robotics
  7. Do LLM Evaluators Prefer Themselves for a Reason?
    2025/04/04 by Wei-Lin Chen, Chen, Wei-Lin, Zhepei Wei +7 · 14 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
  8. ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
    2024/05/15 by Siwei Wang, Yifei Shen, Wang, Siwei +9 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  9. Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval
    2025/05/26 by Fanyu Kong, Kong, Fanheng, Jingyuan Zhang +19 · 12 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimedia (cs.MM) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  10. <scp>ADAM10</scp> mediates ectopic proximal tubule development and renal fibrosis through Notch signalling
    2020/07/27 by Bingjue Li, Chaohong Zhu, Lihua Dong +15 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Medicine · #Renal and related cancers #Birth, Development, and Health #Pregnancy and preeclampsia studies
  11. Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction
    2023/08/30 by Jun Li, Li, Jun, J Wang +19 · 1 citation
    Computer Science · Social Sciences · #Digital Marketing and Social Media #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques
  12. TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM
    2024/12/04 by Huiying Cao, Yiqun Zhang, Cao, Huiying +9 · 2 citations
    Computer Science · Social Sciences · #AI in Service Interactions #Computation and Language (cs.CL) #FOS: Computer and information sciences #Problem and Project Based Learning #Wikis in Education and Collaboration
  13. Predicting Empirical AI Research Outcomes with Language Models
    2025/06/01 by Jiaxin Wen, Chenglei Si, Wen, Jiaxin +7 · 3 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Topic Modeling
  14. Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
    2025/04/14 by Zihan Wang, Wang, Zihan, Jinghao Lin +11 · 1 citation
    Computer Science · #Semantic Web and Ontologies #Natural Language Processing Techniques #Topic Modeling
  15. Beyond Feeling Better: Capability-Sustaining Emotional Dialogue as a Longitudinal Research Paradigm
    2026/07/30 by Ming Wang, Jiaqi Wu Young, Wenfang Wu +2
    Computer Science · #cs.CL #cs.HC #cs.SI
  16. Contextual Procurement Auctions with Bandit Learning
    2026/07/27 by Yiling Chen, Shi Feng, Sadie Zhao
    #cs.GT #cs.LG
  17. Emergence of a monopole phase in the J1-J2 Heisenberg model on the triangular lattice for small magnetic fields
    2026/07/16 by Sasank Budaraju, Shi Feng, Josef Willsher +3
    #cond-mat.str-el