arXiv Artificial IntelligenceLearn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations
arXiv:2609.11573v1 Announce Type: cross Abstract: Boundary representation (B-rep) is the standard format used…
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arXiv Artificial IntelligencearXiv:2609.11573v1 Announce Type: cross Abstract: Boundary representation (B-rep) is the standard format used…
arXiv Artificial IntelligencearXiv:2609.11550v1 Announce Type: cross Abstract: Early diagnosis of melanoma is critical for improving…
arXiv Artificial IntelligencearXiv:2609.11519v1 Announce Type: cross Abstract: In this paper, we address the problem of graphic design…
arXiv Artificial IntelligencearXiv:2609.11505v1 Announce Type: cross Abstract: Efficient language learning requires methods to reduce the…
arXiv Artificial IntelligencearXiv:2609.11450v1 Announce Type: cross Abstract: Background: To determine whether cross-lingual clinical…
arXiv Artificial IntelligencearXiv:2609.11449v1 Announce Type: cross Abstract: Many ML datasets are constructed by running a detector…
arXiv Artificial IntelligencearXiv:2609.11447v1 Announce Type: cross Abstract: This work investigates a number of approaches to prevent…
arXiv Artificial IntelligencearXiv:2609.11414v1 Announce Type: cross Abstract: Large language models exhibit complementary strengths…
arXiv Artificial IntelligencearXiv:2609.11412v1 Announce Type: cross Abstract: Reducing audio-encoder depth lowers the inference cost of…
arXiv Artificial IntelligencearXiv:2609.11404v1 Announce Type: cross Abstract: This paper presents DF-CAPTCHA, an active defense against…
arXiv Artificial IntelligencearXiv:2609.11391v1 Announce Type: cross Abstract: Environmental controversies in global supply chains pose…
arXiv Artificial IntelligencearXiv:2609.11390v1 Announce Type: cross Abstract: State-of-the-art retrieval-augmented generation (RAG)…