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aggmetrics is a Python package that extends any binary performance measure expressed in the four confusion-matrix counts to multiclass, multilabel, ordinal, cost-sensitive, soft-label and cross-validation settings, by su...
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Traffic management has traditionally focused on toll-based and road pricing solutions. However, road pricing often raises concerns about accessibility and public dissatisfaction, leading to its prohibition in some places...
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Most voice-cloning systems are built for audio alone: they copy the reference recording's delivery and acoustics, so a voice cloned on a phone sounds like a phone recording whether the speaker is pictured in a studio, on...
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Conditional generation is a key capability to be supported by Large Tabular Models, enabling a number of applications. Accurate conditional generation has to contend with two key challenges: $(i)$ Data comprise a mixture...
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Weight-only quantization keeps LLM activations in floating point and stores weights as low-bit integers, turning the dominant workload into floating-point-integer (FP-INT) general matrix multiplication. Recent quantizers...
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Personal intelligence systems are taking on increasingly complex everyday tasks, yet repeated questions, unnecessary confirmations, and unwanted outreach can turn capable assistance into interaction burden. Reducing this...
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Convergences in Law: Legal Pluralism and Human Rights brings together four studies that examine how different legal systems coexist, clash, and interact to protect rights in contexts of social emergency, territorial conf...
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Inequality is a foundational concept in Western political communication research. Many of the biggest questions in the field have been explicitly or implicitly concerned with relationships between communication and media...
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Este ensayo ofrece una mirada amplia a la historia, los fundamentos teóricos y las estrategias didácticas de la simulación clínica en el ámbito de las ciencias de la salud, con un enfoque hacia la educación híbrida. A tr...
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Mechanistic attribution in Earth system science requires quantifying uncertainty and communicating its implications. Here, we develop an uncertainty-aware mechanistic attribution pipeline that constructs probabilistic fi...
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Large language models (LLMs) are widely used to answer factual questions, but their answers can contain errors and must be fact-checked claim by claim. Yet the resulting score depends on three design decisions: which que...
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The Collinear Resonance for Exotic Molecules and Atoms (CREMA) setup has been developed and commissioned at the Massachusetts Institute of Technology's Laboratory for Nuclear Science. The instrument combines the Doppler-...
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AI agents can now search literature, generate hypotheses, analyze datasets, and run experiments at a scale difficult for researchers to match. Yet scaling scientific execution does not automatically scale researchers' ab...
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We demonstrate reconfigurable, field-free superconducting diode behavior in NbN/FePt and NbN/AlN/FePt heterostructures with remanent stripe domains in the FePt layer. NbN films 10 nm thick are capped either directly with...
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Purpose: Coding agents follow a project's instruction file, such as CLAUDE.md or AGENTS.md, even when it disagrees with the existing code and even when they notice the disagreement. We measure this behaviour and test whe...