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arXiv:2603.03388v2 Announce Type: replace Abstract: Recent neural solvers have achieved strong performance on vehicle routing problems (VRPs), yet they mainly assume symmetric Euclidean distances, restricting...
arXiv:2603.03589v2 Announce Type: replace Abstract: Recent advances in large language models (LLMs) transform how machine learning (ML) pipelines are developed and evaluated. LLMs enable a...
arXiv:2603.03612v2 Announce Type: replace Abstract: The community is increasingly exploring linear RNNs (LRNNs) as language models, motivated by their expressive power and parallelizability. While prior...
arXiv:2603.03659v2 Announce Type: replace Abstract: Popular social media platforms TikTok, Facebook and Instagram allow third-parties to run targeted advertising campaigns on sensitive attributes in-platform. These...
arXiv:2603.03723v2 Announce Type: replace Abstract: Analog error correction codes have been proposed for analog in-memory computing on resistive crossbars, which can accelerate vector-matrix multiplication for...
arXiv:2603.03740v2 Announce Type: replace Abstract: Controlling robots with strongly nonlinear, high-dimensional dynamics remains challenging, as direct nonlinear optimization with safety constraints is often intractable in...
arXiv:2603.03769v2 Announce Type: replace Abstract: Ultra Low Field (64 mT) brain MRI improves accessibility but suffers from reduced image quality compared to 3 T. As...
arXiv:2603.03804v2 Announce Type: replace Abstract: Central Bank Digital Currency (CBDCs) are becoming a new digital financial tool aimed at financial inclusion, increased monetary stability, and...
arXiv:2603.03906v2 Announce Type: replace Abstract: Synthetic data is increasingly used to support research without exposing sensitive user content. Social media data is one of the...
arXiv:2603.03959v2 Announce Type: replace Abstract: Code comment classification is a critical task for automated software documentation and analysis. In the context of the NLBSE'26 Tool...
arXiv:2603.03992v2 Announce Type: replace Abstract: The automation of AI R&D (AIRDA) could have significant implications, but its extent and ultimate effects remain uncertain. We need...
arXiv:2603.04058v2 Announce Type: replace Abstract: Glioblastoma exhibits diverse, infiltrative, and patient-specific growth patterns that are only partially visible on routine MRI, making it difficult to...
arXiv:2603.04162v2 Announce Type: replace Abstract: We present Bielik-Q2-Sharp, the first systematic academic evaluation of extreme 2-bit quantization applied to a Polish large language model. Using...
arXiv:2603.04179v2 Announce Type: replace Abstract: We present NOVA3R, an effective approach for non-pixel-aligned 3D reconstruction from a set of unposed images in a feed-forward manner....
arXiv:2603.04235v2 Announce Type: replace Abstract: We show that there is a one-round randomized distributed algorithm that can 2-color cycles such that the expected fraction of...
arXiv:2603.04243v2 Announce Type: replace Abstract: Cerebral small vessel disease (CSVD) markers, specifically enlarged perivascular spaces (EPVS) and lacunae, present a unique challenge in medical image...
arXiv:2603.04290v2 Announce Type: replace Abstract: We introduce Gaussian Wardrobe, a novel framework to digitalize compositional 3D neural avatars from multi-view videos. Existing methods for 3D...
arXiv:2603.04384v2 Announce Type: replace Abstract: Deep Research agents are rapidly emerging as primary consumers of modern retrieval systems. Unlike human users who issue and refine...
arXiv:1911.06442v5 Announce Type: replace-cross Abstract: The theory of Monotone Comparative Statics (MCS) has traditionally required a lattice structure, excluding certain multidimensional environments such as mixed-strategy...
arXiv:2402.03352v3 Announce Type: replace-cross Abstract: In this paper, we study zeroth-order algorithms for nonconvex minimax problems with coupled linear constraints under the deterministic and stochastic...
arXiv:2403.03455v3 Announce Type: replace-cross Abstract: Control Lyapunov Functions (CLFs) have been extensively used in the control community. A well-known drawback is the absence of a...
arXiv:2404.03740v2 Announce Type: replace-cross Abstract: We study a pair of budget- and performance-constrained weak-submodular maximization problems. For computational efficiency, we explore the use of stochastic...
arXiv:2407.05634v3 Announce Type: replace-cross Abstract: We provide a complete solution to the problem of infinite quantum signal processing for the class of Szeg\H{o} functions, which...
arXiv:2501.05310v3 Announce Type: replace-cross Abstract: Enhancing explainability in speech self-supervised learning (SSL) is important for developing reliable SSL-based speech processing systems. This study probes how...