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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
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This paper addresses the problem of characterizing functions f — Z_n → Z_n for which the averages of roots of unity expressions µ_b(f) = (1/n) ∑_{x=0}^{n-1} ω^{f(x)+bx} (with ω=e^{2πi/n}) are algebr…
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This paper investigates how well language models (LMs), especially open-source and medium-sized ones, understand rare English Paired-Focus constructions like “let alone” and “much less,” which join…
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This paper addresses the challenges in dynamic 4D scene reconstruction from monocular video, specifically critiquing existing feed-forward methods that predict per-pixel 3D Gaussians for each frame
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The paper addresses the novel challenge of anonymizing long-form text such as interview transcripts against agentic large language model (LLM) re-identification attacks augmented with web search
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LLM-FACETS addresses the critical challenge of enabling accessible, privacy-preserving, and reproducible evaluation of Large Language Models (LLMs) for diverse practitioner profiles, especially non…
