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arXiv:2502.12427v5 Announce Type: replace Abstract: Super-resolution can play an essential role in enhancing the spatial fidelity of Earth System Model outputs, allowing fine-scale structures highly...
arXiv:2502.14894v4 Announce Type: replace Abstract: Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants with significant public health impacts, yet large-scale monitoring remains severely limited...
arXiv:2502.17356v5 Announce Type: replace Abstract: Language models famously improve under a smooth scaling law, but some specific capabilities exhibit sudden breakthroughs in performance. Advocates of...
arXiv:2502.17863v2 Announce Type: replace Abstract: Video generation aims to produce temporally coherent sequences of visual frames, representing a pivotal advancement in Artificial Intelligence Generated Content...
arXiv:2502.20063v2 Announce Type: replace Abstract: We study the impact of strategic behavior in labor markets characterized by algorithmic monoculture, where firms compete for a shared...
arXiv:2503.09728v2 Announce Type: replace Abstract: Restarted GMRES is a robust and widely used iterative solver for linear systems. The control of the restart parameter is...
arXiv:2503.09762v3 Announce Type: replace Abstract: We study a centralized discrete-time dynamic two-way matching model with finitely many agent types. Agents arrive stochastically over time and...
arXiv:2503.10265v2 Announce Type: replace Abstract: Robotic-assisted surgery (RAS) is central to modern surgery, driving the need for intelligent systems with accurate scene understanding. Most existing...
arXiv:2503.12286v2 Announce Type: replace Abstract: Background: Several studies show that large language models (LLMs) struggle with phenotype-driven gene prioritization for rare diseases. These studies typically...
arXiv:2503.15378v3 Announce Type: replace Abstract: This paper presents a grid-aware probabilistic approach to compute the aggregated flexibility at the grid connection point (GCP) of active...
arXiv:2503.15765v2 Announce Type: replace Abstract: In this paper, we develop a numerical method for the computation of (quasi-)resonances in spherical symmetric, heterogeneous Helmholtz problems with...
arXiv:2503.16191v2 Announce Type: replace Abstract: The integration of Large Language Models (LLMs) into engineering workflows presents new opportunities for making computational tools more accessible. Especially...
arXiv:2503.18825v4 Announce Type: replace Abstract: We develop evaluation methods for measuring the economic decision-making capabilities and tendencies of LLMs. First, we develop benchmarks derived from...
arXiv:2504.00869v2 Announce Type: replace Abstract: Test-time scaling has emerged as a powerful technique for enhancing the reasoning capabilities of large language models. However, its effectiveness...
arXiv:2504.05015v2 Announce Type: replace Abstract: Reachability in pushdown vector addition systems with states (PVASS) is among the longest standing open problems in Theoretical Computer Science....
arXiv:2504.05523v3 Announce Type: replace Abstract: Large language models (LLMs) have shown potential as tools for scientific discovery. This has engendered growing interest in their use...
arXiv:2504.05615v3 Announce Type: replace Abstract: Federated Learning (FL) is a powerful framework for privacy-preserving distributed learning. It enables multiple clients to collaboratively train a global...
arXiv:2504.06768v3 Announce Type: replace Abstract: One global model in federated learning (FL) might not be sufficient to serve many clients with non-IID tasks and distributions....
arXiv:2504.08603v3 Announce Type: replace Abstract: Geometrically accurate and semantically expressive map representations have proven invaluable for robot deployment and task planning in unknown environments. Nevertheless,...
arXiv:2504.09103v4 Announce Type: replace Abstract: While most prior research has focused on improving the precision of multimodal trajectory predictions, the explicit modeling of multimodal behavioral...
arXiv:2504.19223v4 Announce Type: replace Abstract: Spectral imaging offers promising applications across diverse domains, including medicine and urban scene understanding, and is already established as a...
arXiv:2504.20814v2 Announce Type: replace Abstract: While several studies have examined the security of code generated by GPT and other Large Language Models (LLMs), most have...
arXiv:2505.03795v3 Announce Type: replace Abstract: Human networks greatly impact important societal outcomes, including wealth and health inequality, poverty, and bullying. As such, understanding human networks...
arXiv:2505.03901v4 Announce Type: replace Abstract: The advent of Large Language Models (LLMs) has introduced a new paradigm in Software Engineering (SE), with generative AI tools...