Zhimin Hu

School of Psychological and Brain Science & Interactive Computing

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I am a first-year Ph.D. student in the Cognition and Brain Science Program at Georgia Tech, advised by Sashank Varma. I received my B.S. in Computer Science from the University of Wisconsin-Madison, where I worked with Gary Lupyan, Larissa Albantakis and Catherine Marler.

I identify as both a cognitive scientist and a computer scientist, curious about how biological and artificial minds compute. On the science side, I use behavioral experiments and computational modeling to study how humans reason and plan adaptively under resource constraints. On the engineering side, I tackle open problems in LLM reasoning and robotic learning. I am also especially drawn to using representational geometry to characterize how models and brains represent concepts across contexts and task demands.

Before joining Georgia Tech, I worked as a Research Scientist Intern at miHoYo developing the memory system for LLM agents. Before that, I was an Algorithm Engineer Intern at Z.ai working on the continual pretraining & SFT of GLM-4.

news

Oct 01, 2026 One paper is accepted to NeurIPS Interp4Discovery 2026 as 🏆Oral presentation.
Jun 11, 2026 One paper is accepted to ICML Mech Interp 2026 as a 🏆Spotlight (23/801).
Apr 08, 2026 Two papers are accepted to CogSci 2026.

selected publications

  1. NeurIPS 2026
    Position: Mechanistic Interpretability Needs a Logic of Inference
    Zhimin Hu, Chen Jiang, Hanbo Xie, and 2 more authors
    NeurIPS - Interp4Discovery (🌟Oral), 2026
  2. ICML 2026
    Language Models Represent and Transform Concepts with Shared Geometry
    Zhimin Hu, Lanhao Niu, and Sashank Varma
    ICML - Mech Interp (🌟Spotlight), 2026
  3. CogSci 2026
    The Representational Geometry of Number
    Zhimin Hu, Lanhao Niu, and Sashank Varma
    In Proceedings of the Annual Meeting of the Cognitive Science Society 48, 2026
  4. CogSci 2026
    Are More Tokens Rational? Inference-Time Scaling in Language Models as Adaptive Resource Rationality
    Zhimin Hu, Riya Roshan, and Sashank Varma
    In Proceedings of the Annual Meeting of the Cognitive Science Society 48, 2026
  5. Neural Comp
    From Function to Implementation: Exploring Degeneracy in Evolved Artificial Agents
    Zhimin Hu, Oğulcan Cingiler, Clifford Bohm, and 1 more author
    Neural Computation (🌟Featured on Cover), 2025
  6. Evolang XV
    Failures and Successes to Learn a Core Conceptual Distinction From the Statistics of Language
    Zhimin Hu, Jeroen Van Paridon, and Gary Lupyan
    In The Evolution of Language: Proceedings of the 15th International Conference, 2024