Ricardo Henao

Venues

Frequent coauthors

Papers

1. Calibrating Model-Based Evaluation Metrics for Summarization
   ACL 2026 ·

   Hongye Liu

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2. Learning to Control Summaries with Score Ranking
   ACL 2026 ·

   Hongye Liu

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3. Coupling Generative Modeling and an Autoencoder with the Causal Bridge
   NeurIPS 2025 ·

   Ruolin Meng

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4. Cross-Modal Imputation and Uncertainty Estimation for Spatial Transcriptomics
   AISTATS 2025 ·

   Xiangyu Guo

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5. Learning Subjective Label Distributions via Sociocultural Descriptors
   EMNLP 2025 ·

   Mohammed Fayiz Parappan

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6. Learning Survival Distributions with the Asymmetric Laplace Distribution
   ICML 2025 ·

   Deming Sheng

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7. Learning to Substitute Words with Model-based Score Ranking
   NAACL 2025 ·

   Hongye Liu

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8. On Understanding Attention-Based In-Context Learning for Categorical Data
   ICML 2025 ·

   Aaron T. Wang

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9. Proactive Pseudo-Intervention: Pre-informed Contrastive Learning For Interpretable Vision Models
   AAAI 2025 ·

   Dong Wang

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10. Adaptive Discretization for Event PredicTion (ADEPT)
    AISTATS 2024 ·

    Jimmy Hickey

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11. Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources
    ICML 2024 ·

    Meng Xia

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12. Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
    NAACL 2024 ·

    Rui Wang

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