Di Wu

Venues

Frequent coauthors

Papers

1. Label Effects: Shared Heuristic Reliance in Trust Assessment by Humans and LLM-as-a-Judge
   ACL 2026 ·

   Xin Sun

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2. MGI: A Communication Framework for Data Processing in Massive GPU Infrastructures
   VLDB 2026 · Di Wu
3. On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning
   ACL 2026 · Di Wu
4. SIAM: Towards Generalizable Articulated Object Modeling via Single Robot-Object Interaction
   AAAI 2026 ·

   Yuyan Liu

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5. Vision-Language Model Based Transfer Learning for Historical Document Recognition
   ICDAR 2026 ·

   Yifan Huang

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6. What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs
   EACL 2026 ·

   Xinlan Yan

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7. A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams
   IJCAI 2025 ·

   Zhong Chen

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8. Calibrating Translation Decoding with Quality Estimation on LLMs
   NeurIPS 2025 · Di Wu
9. Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
   ICLR 2025 ·

   Seth Aycock

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10. Cost-Aware Optimal Pairwise Pure Exploration
    AISTATS 2025 · Di Wu
11. DyMAS-Net: Dynamic Multi-scale Adaptive Sampling Network for Efficient Medical Image Segmentation
    MICCAI 2025 ·

    Siqi Wang

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12. Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
    IJCAI 2025 · Di Wu
13. Greedy Sampling Is Provably Efficient For RLHF
    NeurIPS 2025 · Di Wu
14. How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
    NAACL 2025 ·

    Yan Meng

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15. IU4Rec: Interest Unit-Based Product Organization and Recommendation for E-Commerce Platform
    SIGKDD 2025 ·

    Wenhao Wu

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16. KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model
    EMNLP 2025 ·

    Shun Wu

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17. Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models
    ACL 2025 ·

    Jiaxiang Liu

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18. LFTransMamba: A Hybrid Mamba-Transformer Model for Light Field Image Super-Resolution
    CVPR 2025 ·

    Kai Jin

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19. LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
    RecSys 2025 ·

    Zheng Chai

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20. Large Memory Network for Recommendation
    WWW 2025 ·

    Hui Lu

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21. NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results
    CVPR 2025 ·

    Yingqian Wang

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22. NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results
    CVPR 2025 ·

    Xin Li

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23. Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation
    EMNLP 2025 · Di Wu
24. REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints
    NeurIPS 2025 · Di Wu
25. RankMixer: Scaling Up Ranking Models in Industrial Recommenders
    CIKM 2025 ·

    Jie Zhu

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26. Refining Dataset Distillation via Critical Region Selection and Multiview Teacher Guidance
    ECAI 2025 ·

    Wenqing Ye

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27. Sampling Innovation-Based Adaptive Compressive Sensing
    CVPR 2025 ·

    Zhifu Tian

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28. Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models
    ACL 2025 · Di Wu
29. How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data
    ACL 2024 · Di Wu
30. KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model
    EMNLP 2024 ·

    Shun Wu

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31. Meta-Task Prompting Elicits Embeddings from Large Language Models
    ACL 2024 ·

    Yibin Lei

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32. Neural Network Approximation for Pessimistic Offline Reinforcement Learning
    AAAI 2024 · Di Wu
33. Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation
    EMNLP 2024 ·

    Shaomu Tan

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34. Representational Isomorphism and Alignment of Multilingual Large Language Models
    EMNLP 2024 · Di Wu
35. Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
    IJCAI 2024 · Di Wu