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Xuefeng Du

8 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

ICML ×4NeurIPS ×2AAAI ×1ICLR ×1

Frequent coauthors

Leitian Tao
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Min-Hsuan Yeh
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Seongheon Park
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Changdae Oh
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Papers

  1. Teach AI What It Doesn't Know
    AAAI 2026 · Xuefeng Du
  2. Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis
    NeurIPS 2025 ·
    Leitian Tao
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  3. Position: Challenges and Future Directions of Data-Centric AI Alignment
    ICML 2025 ·
    Min-Hsuan Yeh
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  4. Steer LLM Latents for Hallucination Detection
    ICML 2025 ·
    Seongheon Park
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  5. Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach
    ICML 2025 ·
    Changdae Oh
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  6. HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
    NeurIPS 2024 · Xuefeng Du
  7. How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
    ICLR 2024 · Xuefeng Du
  8. When and How Does In-Distribution Label Help Out-of-Distribution Detection?
    ICML 2024 · Xuefeng Du