Papers
Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities
Minh Duc Chu, Zihao He, Rebecca Dorn et al.
CogLM: Tracking Cognitive Development of Large Language Models
Xinglin Wang, Peiwen Yuan, Shaoxiong Feng et al.
World Models with Hints of Large Language Models for Goal Achieving
Zeyuan Liu, Ziyu Huan, Xiyao Wang et al.
Benchmarking Distributional Alignment of Large Language Models
Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto
Understanding Figurative Meaning through Explainable Visual Entailment
Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty et al.
Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models
Guilherme Seidyo Imai Aldeia, Daniel S Herman, William La Cava
Early Detection of Pancreatic Cancer Using Multimodal Learning on Electronic Health Records
Mosbah Aouad, Anirudh Choudhary, Awais Farooq et al.
Generating Accurate Synthetic Survival Data by Conditioning on Outcomes
Mohd Ashhad, Ricardo Henao
State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings
Mohammed Baharoon, Luyang Luo, Michael Moritz et al.
PhenoRAG: Retrieval-Augmented Generation for Efficient Zero-Shot Phenotype Identification in Clinical Reports
Marc Berndt, Andrea Agostini, Beatrice Stocker et al.
Can interpretability and accuracy coexist in cancer survival analysis?
Piyush Borole, Tongjie Wang, Antonio Vergari et al.
The Impact of Image Resolution on Biomedical Multimodal Large Language Models
Liangyu Chen, James Burgess, Jeffrey J Nirschl et al.
Improving Out-of-distribution Human Activity Recognition via IMU-Video Cross-modal Representation Learning
Seyyed Saeid Cheshmi, Buyao Lyu, Thomas Lisko et al.
Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings
Daphné Chopard, Sonia Laguna, Kieran Chin-Cheong et al.
MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks
Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf et al.
Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health
Arpan Dasgupta, Mizhaan Prajit Maniyar, Awadhesh Srivastava et al.
Uncertainty-Aware Prediction of Parkinson’s Disease Medication Needs: A Two-Stage Conformal Prediction Approach
Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora et al.
Error Profiling of Machine Learning Models: An Exploratory Visualization
Jeffrey Feng, Al Rahrooh, Alex Bui
Does Domain-Specific Retrieval Augmented Generation Help LLMs Answer Consumer Health Questions?
Chase M Fensore, Rodrigo M Carrillo-Larco, Megha Shah et al.
ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling
William Han, Chaojing Duan, Michael Rosenberg et al.
Stage-Aware Event-Based Modeling (SA-EBM) for Disease Progression
Hongtao Hao, Vivek Prabhakaran, Veena A Nair et al.
Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding
Nikkie Hooman, Zhongjie Wu, Eric C. Larson et al.
MedPatch: Confidence-Guided Multi-Stage Fusion for Multimodal Clinical Data
Baraa Al Jorf, Farah E. Shamout
Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant Described States
Karine Karine, Benjamin M. Marlin
ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression
Mert Ketenci, Vincent Jeanselme, Harry Reyes Nieva et al.