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Chenchen Jing

15 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

AAAI ×3NeurIPS ×3ACL ×2ICCV ×2ECCV ×1EMNLP ×1ICLR ×1IJCAI ×1NAACL ×1

Frequent coauthors

Chuanhao Li
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Linhao Zhong
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Yang Liu
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Zhen Li
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Jianyu Liu
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Shiyu Zhang
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Cong Chen
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Muzhi Zhu
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Papers

  1. Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models
    ACL 2026 ·
    Linhao Zhong
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  2. Composition-Incremental Learning for Compositional Generalization
    AAAI 2026 ·
    Zhen Li
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  3. Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration
    ACL 2026 ·
    Linhao Zhong
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  4. Consistency of Compositional Generalization Across Multiple Levels
    AAAI 2025 ·
    Chuanhao Li
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  5. DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
    NAACL 2025 ·
    Jianyu Liu
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  6. Learning Visual Proxy for Compositional Zero-Shot Learning
    ICCV 2025 ·
    Shiyu Zhang
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  7. PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training
    ICLR 2025 ·
    Cong Chen
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  8. Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning
    IJCAI 2025 · Chenchen Jing
  9. Unified Open-World Segmentation with Multi-Modal Prompts
    ICCV 2025 ·
    Yang Liu
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  10. A Simple Image Segmentation Framework via In-Context Examples
    NeurIPS 2024 ·
    Yang Liu
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  11. Compositional Substitutivity of Visual Reasoning for Visual Question Answering
    ECCV 2024 ·
    Chuanhao Li
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  12. In-Context Compositional Generalization for Large Vision-Language Models
    EMNLP 2024 ·
    Chuanhao Li
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  13. Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning
    AAAI 2024 · Chenchen Jing
  14. SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
    NeurIPS 2024 ·
    Chuanhao Li
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  15. Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
    NeurIPS 2024 ·
    Muzhi Zhu
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