7 papers
SoftGene: Protein Language Model-Enhanced Soft Prompting for Interpretable Gene Set Annotation
Drew Ross, Arya Hadizadeh Moghaddam, Dongjie Wang +2
Gene set analysis is a cornerstone of functional genomics, yet it remains labor-intensive and heavily dependent on manual curation and expert biological interpretation. While Large…
RASPER: Reward-Aligned Summarization of Clinical Notes for EHR Outcome Prediction
Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Chen Chen +2
Unstructured discharge notes in Electronic Health Records (EHRs) often carry signal complementary to structured medical codes, holding patient-specific evidence that standardized c…
Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation
Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Chen Chen +2
In electronic health record (EHR) mining, learning high-quality representations of medical concepts (e.g., standardized diagnosis, medication, and procedure codes) is fundamental f…
Understanding the Mechanism of Altruism in Large Language Models
Shuhuai Zhang, Shu Wang, Zijun Yao +4
Altruism is fundamental to human societies, fostering cooperation and social cohesion. While recent studies suggest that large language models (LLMs) can display human-like prosoci…
RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
Arya Hadizadeh Moghaddam, Drew Ross, Mohsen Nayebi Kerdabadi +2
Large Language Models (LLMs) have shown strong promise for mining Electronic Health Records (EHRs) by reasoning over longitudinal clinical information to capture context-rich patie…
Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
Rui Liu, Rui Xie, Zijun Yao +2
Feature selection removes redundant features to enhanc performance and computational efficiency in downstream tasks. Existing works often struggle to capture complex feature intera…
Iterative Feature Space Optimization through Incremental Adaptive Evaluation
Yanping Wu, Yanyong Huang, Zhengzhang Chen +5
Iterative feature space optimization involves systematically evaluating and adjusting the feature space to improve downstream task performance. However, existing works suffer from…