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…
Learning to Lead Themselves: Agentic AI in MAS using MARL
arXiv:2510.00022v1 Announce Type: new Abstract: As autonomous systems move from prototypes to real deployments, the ability of multiple agents to…
AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size
arXiv:2509.26432v2 Announce Type: replace-cross Abstract: Diffusion-based large language models (dLLMs) are gaining attention for their inherent capacity for parallel decoding,…