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This paper evaluates the productivity impact of GitHub Copilot (GHCP) on software engineers by analyzing 43 weeks of telemetry data from 16,223 Microsoft Cloud+AI engineers
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This paper studies Maximal Extractable Value (MEV) search strategies in high-throughput blockchains, contrasting two architectures — targeted (off-chain) search and probabilistic (on-chain) search
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This paper addresses the extension of Consensus-Based Optimization (CBO), a derivative-free particle-based global optimization method, to infinite-dimensional separable Hilbert spaces
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This paper addresses the challenge of accurately modeling electronic structure and spectroscopic properties of uranium-containing diatomic molecules (UC, UN, UO, UF), which are archetypal actinide …
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This paper addresses the challenge of authenticating Copy Detection Patterns (CDPs), which are printed binary patterns used for low-cost anti-counterfeiting
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This paper addresses the challenging problem of maritime weather routing, which requires optimally planning vessel trajectories under dynamically changing wind, wave, and current conditions, while …
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This paper addresses the challenge of Radical Moral Disagreements (RMDs), highly polarizing issues that are identity-relevant, resistant to compromise, and often censored in public discourse
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This paper addresses the challenge of domain shift in AI-based skin cancer screening, specifically the drop in performance when models trained on expert dermoscopic images (source domain) are appli…
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This work addresses the challenge of learning effective deep representations from high-dimensional, noisy, and batch-affected RNA sequencing (RNA-seq) gene expression data
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This study investigates how author name ambiguity, specifically vertex merging and splitting errors caused by initials-based disambiguation (IBD) methods, distort the structural properties of large…
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This paper presents the first comprehensive, systematic security analysis of the x402 payment protocol, an emerging infrastructure for automated AI-agent mediated payments that underpins about 130 …
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This paper addresses the rising challenge that encryption poses for traditional traffic analysis methods which rely on inspecting packet payloads or headers
