Cao Xiao

Venues

Frequent coauthors

Papers

1. A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare
   SIGKDD 2025 ·

   Ran Xu

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2. Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
   NeurIPS 2025 ·

   Haoyan Yang

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3. Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
   AAAI 2025 ·

   Pengcheng Jiang

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4. Deep Continuous-Time State-Space Models for Marked Event Sequences
   NeurIPS 2025 ·

   Yuxin Chang

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5. Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
   NAACL 2025 ·

   Shuyang Yu

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6. Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
   CVPR 2025 ·

   Aishik Konwer

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7. Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
   NAACL 2025 ·

   Xiyao Wang

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8. FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images
   SIGKDD 2025 ·

   Longchao Da

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9. Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning
   ACL 2025 ·

   Aofei Chang

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10. Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
    ICLR 2025 ·

    Pengcheng Jiang

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11. BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
    EMNLP 2024 ·

    Aofei Chang

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12. Certifiably Byzantine-Robust Federated Conformal Prediction
    ICML 2024 ·

    Mintong Kang

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13. ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation
    AAAI 2024 ·

    Brandon Theodorou

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14. GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
    ICLR 2024 ·

    Pengcheng Jiang

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15. KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
    NeurIPS 2024 ·

    Pengcheng Jiang

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16. MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
    IJCAI 2024 ·

    Zifeng Wang

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17. PILOT: Legal Case Outcome Prediction with Case Law
    NAACL 2024 ·

    Lang Cao

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18. Recent Advances in Predictive Modeling with Electronic Health Records
    IJCAI 2024 ·

    Jiaqi Wang

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19. Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
    SIGKDD 2024 ·

    Yuan Zhong

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20. TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
    NAACL 2024 ·

    Pengcheng Jiang

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21. Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources
    ACL 2024 ·

    Xiaochen Wang

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22. Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
    EMNLP 2024 ·

    Zhepeng Wang

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23. Zero-Resource Hallucination Prevention for Large Language Models
    EMNLP 2024 ·

    Junyu Luo

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