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arXiv:2506.04775v3 Announce Type: replace Abstract: We study stochastic linear bandits with heavy-tailed rewards, where the rewards have a finite $(1+\epsilon)$-absolute central moment bounded by $\upsilon$...
arXiv:2506.06216v3 Announce Type: replace Abstract: The Maximum Satisfiability problem (MaxSAT) is a major optimization challenge with numerous practical applications. In recent MaxSAT evaluations, most MaxSAT...
arXiv:2506.07611v2 Announce Type: replace Abstract: Drag-Based Image Editing (DBIE), which allows users to manipulate images by directly dragging objects within them, has recently attracted much...
arXiv:2506.08710v4 Announce Type: replace Abstract: 3D Gaussian Splatting (3DGS) serves as a highly performant and efficient encoding of scene geometry, appearance, and semantics. Moreover, grounding...
arXiv:2506.10098v4 Announce Type: replace Abstract: This paper presents the first application of Gaussian Mixture Copula Models to the statistical modeling of driving scenarios for the...
arXiv:2506.10769v3 Announce Type: replace Abstract: Reliable uncertainty quantification (UQ) is essential when employing large language models (LLMs) in high-risk domains such as clinical question answering...
arXiv:2506.11031v4 Announce Type: replace Abstract: Traditional supervised methods for detecting AI-generated images depend on large, curated datasets for training and fail to generalize to novel,...
arXiv:2506.11238v2 Announce Type: replace Abstract: Introduction: Premature Ventricular Contractions (PVCs) are common cardiac arrhythmias originating from the ventricles. Accurate detection remains challenging due to variability...
arXiv:2506.11266v2 Announce Type: replace Abstract: Large language models (LLMs) increasingly rely on external tools and APIs to execute complex tasks specified in natural language. Evaluating...
arXiv:2506.11526v3 Announce Type: replace Abstract: For autonomous vehicles, safe navigation in complex environments depends on handling a broad range of diverse and rare driving scenarios....
arXiv:2506.12371v4 Announce Type: replace Abstract: Identifying and measuring biases associated with sensitive attributes is a crucial consideration in healthcare to prevent treatment disparities. One prominent...
arXiv:2506.13001v2 Announce Type: replace Abstract: Existing work in automatic music generation has mostly focused on end-to-end systems that generate either entire compositions or continuations of...
arXiv:2506.13470v3 Announce Type: replace Abstract: Zero-shot stance detection (ZSSD) seeks to determine the stance of text toward previously unseen targets, a task critical for analyzing...
arXiv:2506.13694v2 Announce Type: replace Abstract: In this paper, we present a NURBS-enhanced finite element method that integrates NURBS-based boundary representations of geometric domains into standard...
arXiv:2506.14054v4 Announce Type: replace Abstract: Soils have potential to mitigate climate change by sequestering carbon from the atmosphere, but the soil carbon cycle remains poorly...
arXiv:2506.14175v3 Announce Type: replace Abstract: In aligning large language models (LLMs), reward models have played an important role, but are standardly trained as discriminative models...
arXiv:2506.15329v2 Announce Type: replace Abstract: Recent research shows that in-context learning (ICL) can be effective even when demonstrations have missing or incorrect labels. To shed...
arXiv:2506.15408v2 Announce Type: replace Abstract: Modern AI systems frequently rely on opaque black-box models, most notably Deep Neural Networks, whose performance stems from complex architectures...
arXiv:2506.16206v3 Announce Type: replace Abstract: Many-valued models generalise the structures from classical model theory by defining truth values for a model with an arbitrary algebra....
arXiv:2506.17977v2 Announce Type: replace Abstract: Ensuring the trustworthiness of graph neural networks (GNNs), which are often treated as black-box models, requires effective explanation techniques. Existing...
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...