PPaperPicks

Jimeng Sun

University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA

33 papers at tracked venues · 23 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering
  2. Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
  3. A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare
  4. Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
  5. GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
  6. Long-Term EEG Partitioning for Seizure Onset Detection
  7. MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem
  8. Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise
  9. Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
  10. Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding
  11. SECRET: Semi-supervised Clinical Trial Document Similarity Search
  12. Small Models are LLM Knowledge Triggers for Medical Tabular Prediction
  13. Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation
  14. s3: You Don't Need That Much Data to Train a Search Agent via RL
  15. Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
  16. CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
  17. Can a Deep Learning Model be a Sure Bet for Tabular Prediction?
  18. Certifiably Byzantine-Robust Federated Conformal Prediction
  19. ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation
  20. Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation
  21. GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
  22. GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
  23. Instruction Tuning Large Language Models to Understand Electronic Health Records
  24. KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
  25. Making Pre-trained Language Models Great on Tabular Prediction
  26. MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
  27. MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
  28. Multimodal Patient Representation Learning with Missing Modalities and Labels
  29. PILOT: Legal Case Outcome Prediction with Case Law
  30. Recent Advances in Predictive Modeling with Electronic Health Records
  31. TTM-RE: Memory-Augmented Document-Level Relation Extraction
  32. TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
  33. Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models