publications

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

2025

  1. Preprint
    One Token to Fool LLM-as-a-Judge
    Yulai Zhao*Haolin Liu*, Dian Yu, S.Y. Kung, Haitao Mi, and Dong Yu
    2025
  2. Preprint
    RAG-Gym: Systematic Optimization of Language Agents for Retrieval-Augmented Generation
    Guangzhi Xiong*, Qiao Jin*, Xiao Wang, Yin Fang, Haolin Liu, Yifan Yang, Fangyuan Chen, Zhixing Song, Dengyu Wang, Minjia Zhang, and 2 more authors
    2025
  3. COLT
    Decision Making in Hybrid Environments: A Model Aggregation Approach
    (α-β) Haolin Liu, Chen-Yu Wei, and Julian Zimmert
    COLT, 2025
  4. AAAI
    Sample Complexity of Opinion Formation on Networks (Oral)
    (α-β) Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram, Anil Vullikanti, Omer Wasim, and Haifeng Xu
    AAAI, 2025

2024

  1. NeurIPS
    Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback
    (α-β) Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei, and Julian Zimmert
    NeurIPS, 2024
  2. NeurIPS
    Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
    (α-β) Haolin Liu, Artin Tajdini, Andrew Wagenmaker, and Chen-Yu Wei
    NeurIPS, 2024
  3. ICLR
    Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback (Spotlight)
    (α-β) Haolin Liu, Chen-Yu Wei, and Julian Zimmert
    ICLR, 2024

2023

  1. NeurIPS
    Bypassing the simulator: Near-optimal adversarial linear contextual bandits
    (α-β) Haolin Liu, Chen-Yu Wei, and Julian Zimmert
    NeurIPS, 2023
  2. AAMAS/ECAI
    Diffusion multi-unit auctions with diminishing marginal utility buyers
    Haolin Liu*, Xinyuan Lian*, and Dengji Zhao
    AAMAS (also in ECAI), 2023