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Lee, Jin Hwa

  1. The Remarkable Robustness of LLMs: Stages of Inference?
    2024/06/27 by Vedang Lad, Lad, Vedang, Wes Gurnee +4 · 18 citations
    Social Sciences · #Artificial Intelligence in Law
  2. Range, not Independence, Drives Modularity in Biologically Inspired Representations
    2024/10/08 by Will Dorrell, Kyle Hsu, Dorrell, Will +15 · 1 voice · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #cs.AI #cs.LG #cs.NE #q-bio.NC
  3. Geometric Signatures of Compositionality Across a Language Model's Lifetime
    2024/10/02 by Lee, Jin Hwa, Jiralerspong, Thomas, Yu, Lei +2 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  4. Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning
    2024/02/28 by Jin Hwa Lee, Stefano Sarao Mannelli, Lee, Jin Hwa +3 · 2 citations
    Social Sciences · #Education and Critical Thinking Development
  5. Distinct Computations Emerge From Compositional Curricula in In-Context Learning
    2025/06/16 by Lee, Jin Hwa, Lampinen, Andrew K., Singh, Aaditya K. +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)