arXiv:2508.02001v2 Announce Type: replace-cross
Abstract: Pervasive encryption makes large-scale labeling infeasible for traffic analysis, while security operations demand edge analysis to avert service degradation and further vulnerabilities. These p…
arXiv:2509.08350v2 Announce Type: replace-cross
Abstract: Many complex networks, ranging from social to biological systems, exhibit structural patterns consistent with an underlying hyperbolic geometry. Revealing the dimensionality of this latent spac…
arXiv:2605.07910v1 Announce Type: new
Abstract: Reconstructing dynamic scenes from Vehicle-to-Infrastructure Cooperative Autonomous Driving (VICAD) data is fundamentally complicated by temporal asynchrony: vehicle and infrastructure cameras operate on…
arXiv:2605.07022v1 Announce Type: new
Abstract: Manually curated biomedical repositories — spanning bioactivity, genomics, and chemistry — are expensive to maintain, lag behind primary literature, and discard experimental context, obscuring nuances …
arXiv:2605.07024v1 Announce Type: cross
Abstract: Large Language Models for code generation frequently produce hallucinations in Fill-in-the-Middle (FIM) tasks — plausible but incorrect completions such as invented API methods, invalid parameters, un…
arXiv:2605.07915v1 Announce Type: new
Abstract: Tokenizers are a crucial component of latent diffusion models, as they define the latent space in which diffusion models operate. However, existing tokenizers are primarily designed to improve reconstruc…
arXiv:2605.07919v1 Announce Type: new
Abstract: Medical vision–language models (VLMs) are usually evaluated on intact image–question pairs, but trustworthy clinical use requires a stronger property: a model must recognise when the evidential basis f…
arXiv:2605.07517v1 Announce Type: cross
Abstract: Retrieval-Augmented Generation (RAG) enhances the factual grounding of Large Language Models by conditioning their outputs on external documents. However, standard embedding-based retrievers treat natu…
arXiv:2605.07039v1 Announce Type: new
Abstract: Large language models have become drivers of evolutionary search, but most systems rely on a fixed, prompt-elicited policy to sample next candidates. This limits adaptation in practical engineering and r…
arXiv:2604.16579v2 Announce Type: replace-cross
Abstract: Automated multimodal depression estimation in unconstrained environments is inherently challenged by naturalistic noise and complex behavioral variability. Prevailing deterministic methods, how…