Genre
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey Xian Wu
In this paper, we address this gap by dividing a typical patient's clinical journey
Going beyond persistent homology using persistent homology Johanna Immonen University of Helsinki
Augmenting these graph models with topological features via persistent homology (PH) has gained prominence, but identifying the class of attributed graphs that PH can recognize remains open. We introduce a novel concept of color-separating sets to provide a complete resolution to this important problem.
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation
Di Lin is the corresponding author of this paper.
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
Large Language Models (LLMs) are increasingly deployed in various applications. As their usage grows, concerns regarding their safety are rising, especially in maintaining harmless responses when faced with malicious instructions.
Curvature Filtrations for Graph Generative Model Evaluation Joshua Southern
This state of the art was recently critiqued by O'Bray et al.
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
LLMs' flexibility is largely due to an "in-context learning" effect that emerges when