Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights
arXiv:2510.02922v1 Announce Type: cross Abstract: Reliable risk assessment for carotid atheromatous disease remains a major clinical challenge, as it requires…
SingMOS-Pro: An Comprehensive Benchmark for Singing Quality Assessment
arXiv:2510.01812v2 Announce Type: replace-cross Abstract: Singing voice generation progresses rapidly, yet evaluating singing quality remains a critical challenge. Human subjective…
OR-Toolformer: Modeling and Solving Operations Research Problems with Tool Augmented Large Language Models
arXiv:2510.01253v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong mathematical reasoning, but reliance on closed-source APIs for OR…
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving
arXiv:2510.00919v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) with foundation models has achieved strong performance across diverse tasks, but their…
Automated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models
arXiv:2510.01914v1 Announce Type: cross Abstract: Since the defect detection of conventional industry components is time-consuming and labor-intensive, it leads to…
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
arXiv:2510.01910v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) are widely adopted in Web-related applications, serving as a core technique…
Neural Diffusion Processes for Physically Interpretable Survival Prediction
arXiv:2510.00733v2 Announce Type: replace-cross Abstract: We introduce DeepFHT, a survival-analysis framework that couples deep neural networks with first hitting time…