Fairness Evaluation of Large Language Models in Academic Library Reference Services
arXiv:2507.04224v2 Announce Type: replace-cross Abstract: As libraries explore large language models (LLMs) for use in virtual reference services, a key…
EXGnet: a single-lead explainable-AI guided multiresolution network with train-only quantitative features for trustworthy ECG arrhythmia classification
arXiv:2506.12404v2 Announce Type: replace-cross Abstract: Deep learning has significantly propelled the performance of ECG arrhythmia classification, yet its clinical adoption…
ReMeREC: Relation-aware and Multi-entity Referring Expression Comprehension
arXiv:2507.16877v1 Announce Type: cross Abstract: Referring Expression Comprehension (REC) aims to localize specified entities or regions in an image based…
Advanced U-Net Architectures with CNN Backbones for Automated Lung Cancer Detection and Segmentation in Chest CT Images
arXiv:2507.09898v2 Announce Type: replace-cross Abstract: This study investigates the effectiveness of U-Net architectures integrated with various convolutional neural network (CNN)…
Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance
arXiv:2502.05236v2 Announce Type: replace-cross Abstract: While autoregressive speech token generation models produce speech with remarkable variety and naturalness, their inherent…
Depth Gives a False Sense of Privacy: LLM Internal States Inversion
arXiv:2507.16372v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly integrated into daily routines, yet they raise significant privacy…
Systole-Conditioned Generative Cardiac Motion
arXiv:2507.15894v1 Announce Type: cross Abstract: Accurate motion estimation in cardiac computed tomography (CT) imaging is critical for assessing cardiac function…
eSapiens’s DEREK Module: Deep Extraction & Reasoning Engine for Knowledge with LLMs
arXiv:2507.15863v1 Announce Type: cross Abstract: We present the DEREK (Deep Extraction & Reasoning Engine for Knowledge) Module, a secure and…
Application of LLM Guided Reinforcement Learning in Formation Control with Collision Avoidance
arXiv:2507.16382v1 Announce Type: cross Abstract: Multi-Agent Systems (MAS) excel at accomplishing complex objectives through the collaborative efforts of individual agents.…