PPaperPicks

Yasha Wang

28 papers at tracked venues · 25 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics
  2. Beyond Imputation: A Semantic Unification Framework for Data and its Missingness in Multimodal Healthcare Analytics
  3. DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
  4. FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
  5. ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
  6. Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
  7. 3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
  8. AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning
  9. Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories
  10. ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
  11. DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
  12. DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations
  13. Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
  14. GeoEdit: Geometric Knowledge Editing for Large Language Models
  15. HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
  16. KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
  17. Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction
  18. Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
  19. Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
  20. Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
  21. TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems
  22. TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
  23. Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation
  24. Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning
  25. ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps
  26. ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup
  27. RAGraph: A General Retrieval-Augmented Graph Learning Framework
  28. SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction