publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. EMNLP Findings
    Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
    Kevin Zhou, Adam Dejl, Gabriel Freedman, Lihu Chen, Antonio Rago, and Francesca Toni
    In Findings of the Association for Computational Linguistics: EMNLP 2025, Nov 2025

2023

  1. NeurIPS
    The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
    Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, and Wen Sun
    Advances in Neural Information Processing Systems 37, Dec 2023