Single-cell polygenic risk scores dissect cellular and molecular heterogeneity of complex human diseases
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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…
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)…
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…
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…
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…
Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation
arXiv:2411.06106v3 Announce Type: replace-cross Abstract: The differences among medical imaging modalities, driven by distinct underlying principles, pose significant challenges for…
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.…