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Neo, Clement

  1. Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs
    2024/07/01 by Minh Nhat Nguyen, Minh‐Hoang Nguyen, Nguyen, Minh Nhat +10 · 4 voices · 39 citations
    Psychology · #Creativity in Education and Neuroscience
  2. Towards Interpreting Visual Information Processing in Vision-Language Models
    2024/10/09 by Clement Neo, C.-H. Luke Ong, Neo, Clement +9 · 23 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  3. Understanding Refusal in Language Models with Sparse Autoencoders
    2025/05/29 by Wei Jie Yeo, Nirmalendu Prakash, Yeo, Wei Jie +9 · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
  4. Interpreting Learned Feedback Patterns in Large Language Models
    2023/10/12 by Luke Marks, Amir Abdullah, Marks, Luke +9 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  5. Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts
    2024/10/11 by Jacob Haimes, Cenny Wenner, Haimes, Jacob +10 · 3 citations
    Business, Management and Accounting · #Private Equity and Venture Capital
  6. Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models
    2024/12/02 by Tice, Cameron, Kreer, Philipp Alexander, Helm-Burger, Nathan +7 · 2 citations
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  7. Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Language Models
    2025/05/28 by Philip Quirke, Quirke, Philip, Narmeen Oozeer +18 · 2 citations
    Computer Science · #Topic Modeling