3 papers
cs.IR2025
Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning
Yuhan Liu, Lin Ning, Neo Wu +5
User sequence modeling is crucial for modern large-scale recommendation systems, as it enables the extraction of informative representations of users and items from their historica…
cs.HC2024
Exploring Large Language Models for Specialist-level Oncology Care
Anil Palepu, Vikram Dhillon, Polly Niravath +18
Large language models (LLMs) have shown remarkable progress in encoding clinical knowledge and responding to complex medical queries with appropriate clinical reasoning. However, t…
cs.HC2024
Towards Democratization of Subspeciality Medical Expertise
Jack W. O'Sullivan, Anil Palepu, Khaled Saab +23
The scarcity of subspecialist medical expertise, particularly in rare, complex and life-threatening diseases, poses a significant challenge for healthcare delivery. This issue is p…