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arXiv:2506.18397v2 Announce Type: replace Abstract: This paper presents the distributed Poisson multi-Bernoulli (PMB) filter based on the generalised covariance intersection (GCI) fusion rule for distributed...
arXiv:2506.18867v3 Announce Type: replace Abstract: We present an efficient B-spline finite element method (FEM) for cloth simulation. While higher-order FEM has long promised higher accuracy,...
arXiv:2506.19113v3 Announce Type: replace Abstract: The discourse around toxicity and LLMs in NLP largely revolves around detection tasks. This work shifts the focus to evaluating...
arXiv:2506.19893v2 Announce Type: replace Abstract: Due to the surging amount of AI-generated images, its provisioning to edges and mobile users from the cloud incurs substantial...
arXiv:2506.20671v3 Announce Type: replace Abstract: Semantic Scene Completion (SSC) has emerged as a pivotal approach for jointly learning scene geometry and semantics, enabling downstream applications...
arXiv:2506.20941v2 Announce Type: replace Abstract: Large language models are trained on massive corpora of web data, which may include private data, copyrighted material, factually inaccurate...
arXiv:2506.21300v3 Announce Type: replace Abstract: Advances in Internet-of-Things (IoT) technologies have prompted the integration of IoT devices with business processes (BPs) in many organizations across...
arXiv:2506.22615v3 Announce Type: replace Abstract: The Arnoldi process provides an efficient framework for approximating functions of a matrix applied to a vector, i.e., of the...
arXiv:2507.02328v2 Announce Type: replace Abstract: Path planning algorithms fundamentally aim to compute collision-free paths, with many works focusing on finding the optimal distance path. However,...
arXiv:2507.07464v4 Announce Type: replace Abstract: With the increasing deployment of intelligent CCTV systems in outdoor environments, there is a growing demand for face recognition systems...
arXiv:2507.08660v3 Announce Type: replace Abstract: Speaker attribution from speech transcripts is the task of identifying a speaker from the transcript of their speech based on...
arXiv:2507.09574v2 Announce Type: replace Abstract: Recent text-to-image models produce high-quality results but still struggle with precise visual control, balancing multimodal inputs, and requiring extensive training...
arXiv:2507.10550v2 Announce Type: replace Abstract: The Value Problem for weighted timed games (WTGs) consists in determining, given a two-player weighted timed game with a reachability...
arXiv:2507.10961v3 Announce Type: replace Abstract: This paper presents a framework for learning vision-based robotic policies for contact-rich manipulation tasks that generalize spatially across task configurations....
arXiv:2507.12070v4 Announce Type: replace Abstract: Presented is a novel methodology for determining representational structure, which builds upon the existing Spotlight Resonance method. This new tool...
arXiv:2507.14995v3 Announce Type: replace Abstract: Real-time peer-to-peer (P2P) electricity markets dynamically adapt to fluctuations in renewable energy and variations in demand, maximizing economic benefits through...
arXiv:2507.15100v2 Announce Type: replace Abstract: Natural Language Inference (NLI) is the task of determining whether a premise entails, contradicts, or is neutral with respect to...
arXiv:2507.15431v3 Announce Type: replace Abstract: We offer a theoretical mathematical background through Lagrangian optimization on the unit hyperspherical manifold and its tangential collection with application...
arXiv:2507.15664v2 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated immense potential in computer-aided design (CAD), particularly for automated debugging and verification within electronic...
arXiv:2507.15783v4 Announce Type: replace Abstract: AI companion chatbots are increasingly popular with teens. While these interactions are entertaining, they also risk overuse that can potentially...
arXiv:2507.16937v2 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) draw inspiration from biological neurons to enable brain-like computation, demonstrating effectiveness in processing temporal information with...
arXiv:2507.19247v4 Announce Type: replace Abstract: Autoregressive language models achieve remarkable performance, yet a unified theory explaining their internal mechanisms, how training shapes their representations, and...
arXiv:2507.21024v2 Announce Type: replace Abstract: Black-box (BB) optimization problems aim to identify an input that maximizes or minimizes the output of a function (the BB...
arXiv:2507.21288v3 Announce Type: replace Abstract: Materials used in real clothing exhibit remarkable complexity and spatial variation due to common processes such as stitching, hemming, dyeing,...