Xue Jiang

Venues

Frequent coauthors

Papers

1. CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
   ACL 2026 · Xue Jiang
2. KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development?
   ACL 2026 · Xue Jiang
3. Large Language Model Unlearning for Source Code
   AAAI 2026 · Xue Jiang
4. RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
   ACL 2026 ·

   Yihong Dong

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5. Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation
   ACL 2026 ·

   Yihong Dong

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6. Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
   AAAI 2026 ·

   Linhao Huang

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7. A Semi-supervised Scalable Unified Framework for E-commerce Query Classification
   ACL 2025 ·

   Chunyuan Yuan

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8. ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce
   SIGIR 2025 ·

   Zheng Fang

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9. FAN: Fourier Analysis Networks
   NeurIPS 2025 ·

   Yihong Dong

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10. Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval
    WWW 2025 ·

    Ming Pang

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11. Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising
    SIGIR 2025 ·

    Zhenhui Liu

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12. On the Generalization Ability of Next-Token-Prediction Pretraining
    ICML 2025 ·

    Zhihao Li

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13. Post-event Modeling via Causal Optimal Transport for CTR Prediction
    SIGIR 2025 ·

    Yizhou Sang

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14. Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling
    NeurIPS 2025 ·

    Yihong Dong

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15. Rethinking Repetition Problems of LLMs in Code Generation
    ACL 2025 ·

    Yihong Dong

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16. Stream Normalization for CTR Prediction
    RecSys 2025 ·

    Yizhou Sang

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17. UniERF: A Uniform Embedding-based Retrieval Framework for E-commerce Search
    SIGKDD 2025 ·

    Hao Jiang

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18. A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce
    WWW 2024 ·

    Chunyuan Yuan

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19. Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights
    CVPR 2024 ·

    Krishna Kanth Nakka

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20. Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
    ACL 2024 ·

    Yihong Dong

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21. Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction
    AAAI 2024 ·

    Jian Zhu

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22. Negative Label Guided OOD Detection with Pretrained Vision-Language Models
    ICLR 2024 · Xue Jiang
23. PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
    ACL 2024 ·

    Yihong Dong

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24. Towards Better Seach Query Classification with Distribution-Diverse Multi-Expert Knowledge Distillation in JD Ads Search
    CIKM 2024 ·

    Kun-Peng Ning

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