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arXiv:2602.19439v1 Announce Type: new Abstract: Problem Definition. Supply chain optimization models frequently become infeasible because of modeling errors. Diagnosis and repair require scarce OR expertise:...
arXiv:2602.19440v1 Announce Type: new Abstract: Federated transaction management has long been used as a method to virtually integrate multiple databases from a transactional perspective, ensuring...
arXiv:2602.19441v1 Announce Type: new Abstract: Autonomous coding agents increasingly contribute to software development by submitting pull requests on GitHub; yet, little is known about how...
arXiv:2602.19442v1 Announce Type: new Abstract: Aligning vision-language model (VLM) outputs with human preferences in domain-specific tasks typically requires fine-tuning or reinforcement learning, both of which...
arXiv:2602.19444v1 Announce Type: new Abstract: Understanding the conformational evolution of $\beta$-amyloid ($A\beta$), particularly the $A\beta_{42}$ isoform, is fundamental to elucidating the pathogenic mechanisms underlying Alzheimer's...
arXiv:2602.19446v1 Announce Type: new Abstract: The open-source software (OSS) community has historically been dominated by English as the primary language for code, documentation, and developer...
arXiv:2602.19449v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) use their vision encoders to translate images into representations for downstream reasoning, but the encoders often...
arXiv:2602.19450v1 Announce Type: new Abstract: Trusted Execution Environments (TEEs) (e.g., Intel SGX and ArmTrustZone) aim to protect sensitive computation from a compromised operating system, yet...
arXiv:2602.19452v1 Announce Type: new Abstract: The recent hardware trend towards reduced precision computing has reignited the interest in numerical techniques that can be used to...
arXiv:2602.19454v1 Announce Type: new Abstract: Standard Test-Time Adaptation (TTA) methods typically treat inference as a blind optimization task, applying generic objectives to all or filtered...
arXiv:2602.19455v1 Announce Type: new Abstract: Time-series diagnostic reasoning is essential for many applications, yet existing solutions face a persistent gap: general reasoning large language models...
arXiv:2602.19457v1 Announce Type: new Abstract: In this paper, we develop a new multiphysics finite element method for a nonlinear poroelastic model with Hencky-Mises stress tensor....
arXiv:2602.19458v1 Announce Type: new Abstract: Multi-agent decision pipelines can outperform single agent workflows when complementarity holds, i.e., different agents bring unique information to the table...
arXiv:2602.19459v1 Announce Type: new Abstract: Conventional-antenna-based multi-cell interference management can lead to excessive power consumption. For example, in order to serve those users which are...
arXiv:2602.19461v1 Announce Type: new Abstract: In this paper, we present Laplacian multiscale flow matching (LapFlow), a novel framework that enhances flow matching by leveraging multi-scale...
arXiv:2602.19463v1 Announce Type: new Abstract: As a primary channel for sustaining modern intimate relationships, instant messaging facilitates frequent connection across distances. However, today's tools often...
arXiv:2602.19467v1 Announce Type: new Abstract: Can low-cost large language models (LLMs) take over the interpretive coding work that still anchors much of empirical content analysis?...
arXiv:2602.19470v1 Announce Type: new Abstract: 3D imaging of specular surfaces remains challenging in real-world scenarios, such as in-line inspection or hand-held scanning, requiring fast and...
arXiv:2602.19471v1 Announce Type: new Abstract: Source-free domain adaptation (SFDA) aims to adapt a model trained in the source domain to perform well in the target...
arXiv:2602.19474v1 Announce Type: new Abstract: We propose a template-driven triangulation framework that embeds raster- or segmentation-derived boundaries into a regular triangular grid for stable PDE...
arXiv:2602.19475v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) have emerged as a promising mesh-free paradigm for solving partial differential equations, yet adoption in science...
arXiv:2602.19476v1 Announce Type: new Abstract: Assessing whether two datasets are distributionally consistent has become a central theme in modern scientific analysis, particularly as generative artificial...
arXiv:2602.19477v1 Announce Type: new Abstract: The sandpile automata of Bak, Tang, and Wiesenfeld (Phys. Rev. Lett., 1987) are a simple model for the diffusion of...
arXiv:2602.19483v1 Announce Type: new Abstract: Quantifying uncertainty in clinical predictions is critical for high-stakes diagnosis tasks. Conformal prediction offers a principled approach by providing prediction...