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Narine Kokhlikyan

  1. How much do language models memorize?
    2025/05/30 by John X. Morris, Chawin Sitawarin, Morris, John X. +13 · 9 voices · 24 citations
    Computer Science · #Natural Language Processing Techniques #cs.CL
  2. Captum: A unified and generic model interpretability library for PyTorch
    2020/09/16 by Narine Kokhlikyan, Vivek Miglani, Kokhlikyan, Narine +19 · 67 citations
    Computer Science · Physics and Astronomy · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
  3. Mind the Pad -- CNNs can Develop Blind Spots
    2020/10/05 by Bilal Alsallakh, Alsallakh, Bilal, Narine Kokhlikyan +7 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (stat.ML)
  4. Error Discovery by Clustering Influence Embeddings
    2023/12/07 by Fulton Wang, Julius Adebayo, Wang, Fulton +7 · 2 citations
    Computer Science · #Software Testing and Debugging Techniques #Natural Language Processing Techniques #Topic Modeling
  5. RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection
    2025/10/06 by Yuxin Wen, Arman Zharmagambetov, Wen, Yuxin +11 · 6 citations
    Psychology · #Behavioral and Psychological Studies
  6. Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality
    2024/04/21 by Mengjie Yu, Dustin Harris, Yu, Mengjie +27 · 1 citation
    Computer Science · Engineering · #Virtual Reality Applications and Impacts #Teleoperation and Haptic Systems #Gaze Tracking and Assistive Technology