arXiv:2510.01914v1 Announce Type: cross Abstract: Since the defect detection of conventional industry components is time-consuming and labor-intensive, it leads to…
arXiv:2510.00919v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) with foundation models has achieved strong performance across diverse tasks, but their…
arXiv:2510.01253v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong mathematical reasoning, but reliance on closed-source APIs for OR…
arXiv:2510.00733v2 Announce Type: replace-cross Abstract: We introduce DeepFHT, a survival-analysis framework that couples deep neural networks with first hitting time…
arXiv:2509.26371v2 Announce Type: replace-cross Abstract: Recently, there has been growing interest in characterizing the function spaces underlying neural networks. While…
