Minwoo (Josh) Kang


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I’m a fifth-year PhD student in Computer Science at UC Berkeley, where I am part of Berkeley AI Research (BAIR) and the SLICE Lab.
My research is advised by Prof. John Canny and Prof. John Wawrzynek.

I am generally interested in topics on language modeling and natural language processing, with a focus on:

  • post-training large language models for generation consistency and diversity
  • LM-LM and LM-Human interaction in collaborative games (where exploration is a must)
  • language models as approximations of human samples and applications toward simulation of human studies
  • language models as agents of code generation, optimization, and design-space exploration (DSE)

news

Nov 08, 2024 :airplane: I will be attending EMNLP 2024 to present our work “Virtual Personas for Language Models via an Anthology of Backstories”. Looking forward to presenting our poster!

selected publications

  1. Virtual Personas for Language Models via an Anthology of Backstories
    Suhong Moon* ,  Marwa Abdulhai* ,  Minwoo Kang* ,  Joseph Suh ,  Widyadewi Soedarmadji , and 3 more authors
    In 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2024
  2. Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors
    Joseph Suh* ,  Suhong Moon* ,  Minwoo Kang* ,  David M Chan ,  and  John Canny
    In 2024 NeurIPS Workshop on Behavioral ML , 2024
  3. FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware
    Minwoo Kang ,  Mingjie Liu ,  Ghaith Bany Hamad ,  Syed Suhaib ,  and  Haoxing Ren
    arXiv preprint arXiv:2410.23299, 2024