Kyle Montgomery

CS @ WASHU

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I am a PhD student studying computer science at Washington University in St. Louis, advised by Chenguang Wang. I am affiliated with WASHU’s NLP group. Previously, I completed my Bachelor’s degree in Computer Science and Mathematics, as well as a Master’s degree in Computer Science, both at Washington University in St. Louis.

My research interests include deep learning, large language models, and their applications in scientific domains. Currently, I’m working to improve the accuracy and efficiency of language models, especially on long contexts. When not engaging in research, I’m frequently rock climbing 🧗.

selected publications

  1. ICLR2025
    JudgeBench: A Benchmark for Evaluating LLM-Based Judges
    Sijun Tan*, Siyuan Zhuang*, Kyle Montgomery*, Willian Y. Tang, Alejandro Cuadron, Chenguang Wang, Raluca Ada Popa, and Ion Stoica
    In Proceedings of the Thirteenth International Conference on Learning Representations, 2024
    PDF Code
  2. ACL2024
    Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
    Eric Pasewark*, Kyle Montgomery*, Kefei Duan, Dawn Song, and Chenguang Wang
    In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
    PDF Code
  3. ICML2024
    Agent Instructs Large Language Models to be General Zero-Shot Reasoners
    Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, and Chenguang Wang
    In Proceedings of the Forty-first International Conference on Machine Learning, 2024
    PDF Code