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Haozhe Wang

14 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

ACL ×5AAAI ×3NeurIPS ×3EMNLP ×1ICRA ×1SIGKDD ×1

Frequent coauthors

Che Liu
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Xiaoyu Tan
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Yifan Jia
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Ke Cao
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Songcheng Cai
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Yihua Shao
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Huaye Zeng
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Alex Su
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Ziyang Yan
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Yi Xin
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Papers

  1. AURORA: Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification
    SIGKDD 2026 ·
    Xiaoyu Tan
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  2. Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models
    AAAI 2026 ·
    Yifan Jia
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  3. RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers
    AAAI 2026 ·
    Ke Cao
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  4. SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding
    ACL 2026 ·
    Songcheng Cai
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  5. TR-DQ: Time-Rotation Diffusion Quantization
    AAAI 2026 ·
    Yihua Shao
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  6. ACECODER: Acing Coder RL via Automated Test-Case Synthesis
    ACL 2025 ·
    Huaye Zeng
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  7. Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation
    ACL 2025 ·
    Che Liu
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  8. Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
    ACL 2025 ·
    Che Liu
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  9. Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
    EMNLP 2025 ·
    Che Liu
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  10. Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning
    NeurIPS 2025 ·
    Alex Su
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  11. Renderworld: World Model with Self-Supervised 3D Label
    ICRA 2025 ·
    Ziyang Yan
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  12. To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization
    ACL 2025 · Haozhe Wang
  13. VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
    NeurIPS 2025 · Haozhe Wang
  14. V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark
    NeurIPS 2024 ·
    Yi Xin
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