Xiaojin Zhu

Venues

Frequent coauthors

Papers

1. When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning
   ACL 2026 ·

   Hyeong Kyu Choi

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2. A Cramér-von Mises Approach to Incentivizing Truthful Data Sharing
   NeurIPS 2025 ·

   Alex Clinton

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3. Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
   NeurIPS 2025 ·

   Hyeong Kyu Choi

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4. Anytime-Constrained Reinforcement Learning
   AISTATS 2024 ·

   Jeremy McMahan

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5. Data Poisoning to Fake a Nash Equilibria for Markov Games
   AAAI 2024 ·

   Young Wu

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6. Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption
   AAAI 2024 ·

   Yiding Chen

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7. On the Complexity of Teaching a Family of Linear Behavior Cloning Learners
   NeurIPS 2024 ·

   Shubham Kumar Bharti

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8. Optimal Attack and Defense for Reinforcement Learning
   AAAI 2024 ·

   Jeremy McMahan

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