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A Strong Linear Baseline for Whole-Heart Cardiac Shape Completion on CT, with an Open Eleven-Structure Statistical Shape Model addresses the challenge of uni...
MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use introduces a framework to evaluate how retrieved memories can unintentionally degrade an LLM's r...
Contrastive Mixed Prompt Learning for Incomplete Multimodal Sentiment Analysis with Unseen Modality Combination addresses the challenge of sentiment analysis...
"What You Can't See Is What You Learn: Restricted Evidence Visibility Favors Compositional Generalization in Shared-Genome Language-Model Societies" investig...
Electronic Navigational Chart Change Classification addresses the labor-intensive challenge of determining whether updates to maritime charts pose a critical...
Learning Early-to-Final Solution Consistency for MILP Acceleration introduces a method to improve the performance of Mixed-Integer Linear Programming (MILP)...
A three-dimensional typology of agency for advanced AI systems aims to provide a framework for classifying the types of agency exhibited by frontier AI, movi...
This paper addresses the challenge of certifying Artificial Intelligence (AI) for use in safety-critical aviation systems.
Manifold Drift in Flow Preference Optimization: A Root Cause of Reward Hacking investigates why continuous-time generative models, such as flow-based models,...
Rethinking Patch Based Multivariate Time Series Forecasting with Semantic Structured Partitioning introduces SCPaT, a Transformer-based framework designed to...
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