Bo Jiang

Venues

Frequent coauthors

Papers

1. STEP-Nav: Spatial-Temporal Efficient Visual Token Pruning for Vision-and-Language Navigation with Large Language Models
   AAAI 2026 ·

   Yantao Lu

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2. A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality
   EMNLP 2025 ·

   Hanbo Huang

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3. Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
   ACL 2025 ·

   James Flemings

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4. Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme
   ICML 2025 ·

   Ruofeng Yang

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5. LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data
   AAAI 2025 ·

   Shaocong Xu

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6. That doesn't sound right: Evaluating speech transcription quality in field linguistics corpora
   ACL 2025 ·

   Éric Le Ferrand

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7. The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers
   AISTATS 2025 ·

   Ruofeng Yang

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8. TreeKV: Smooth Key-Value Cache Compression with Tree Structures
   IJCAI 2025 ·

   Ziwei He

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9. Understanding Large Language Model Performance in Software Engineering: A Large-scale Question Answering Benchmark
   SIGIR 2025 ·

   Ruida Hu

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10. AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking
    NeurIPS 2024 ·

    Shiqi Sun

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11. Few-Shot Diffusion Models Escape the Curse of Dimensionality
    NeurIPS 2024 ·

    Ruofeng Yang

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12. In-context Learning on Function Classes Unveiled for Transformers
    ICML 2024 ·

    Zhijie Wang

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13. Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
    NeurIPS 2024 ·

    Ruofeng Yang

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