Xiaobo Xia

Venues

Frequent coauthors

Papers

1. LearnAlign: Data Selection for LLM Reinforcement Learning with Improved Gradient Alignment
   ACL 2026 ·

   Shipeng Li

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2. Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models
   AAAI 2026 ·

   Yuchen Zhou

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3. OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
   ACL 2026 ·

   Hao Zheng

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4. Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
   AAAI 2026 ·

   Jiajie Su

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5. SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models
   ACL 2026 ·

   Weijiang Lv

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6. Continual Multimodal Contrastive Learning
   NeurIPS 2025 ·

   Xiaohao Liu

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7. DEEM: Diffusion models serve as the eyes of large language models for image perception
   ICLR 2025 ·

   Run Luo

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8. DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization
   ICML 2025 ·

   Zhenglin Zhou

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9. Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
   AAAI 2025 ·

   Lei Zhang

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10. L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
    NeurIPS 2025 ·

    Xiaohao Liu

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11. LaVin-DiT: Large Vision Diffusion Transformer
    CVPR 2025 ·

    Zhaoqing Wang

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12. MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
    ACL 2025 ·

    Run Luo

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13. OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis
    NeurIPS 2025 ·

    Run Luo

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14. Towards Modality Generalization: A Benchmark and Prospective Analysis
    ACM MM 2025 ·

    Xiaohao Liu

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15. UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
    NeurIPS 2025 ·

    Jiyu Guo

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16. VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning
    NeurIPS 2025 ·

    Run Luo

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17. Where, What, Why: Towards Explainable Driver Attention Prediction
    ICCV 2025 ·

    Yuchen Zhou

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18. ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
    CIKM 2024 ·

    Ling-Hao Chen

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19. Few-Shot Adversarial Prompt Learning on Vision-Language Models
    NeurIPS 2024 ·

    Yiwei Zhou

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20. IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
    ICLR 2024 ·

    Shaokun Zhang

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21. Mitigating Label Noise on Graphs via Topological Sample Selection
    ICML 2024 ·

    Yuhao Wu

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22. One-Shot Learning as Instruction Data Prospector for Large Language Models
    ACL 2024 ·

    Yunshui Li

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23. Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
    ICML 2024 · Xiaobo Xia
24. Towards Realistic Model Selection for Semi-supervised Learning
    ICML 2024 ·

    Muyang Li

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