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Machine Learning for Coding Retail Product Names to Consumer-Price Categories — A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling

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Machine Learning for Coding Retail Product Names to Consumer-Price Categories — A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling

·8 min read·Vladimir Beskorovainyi

This paper addresses the practical challenge faced by statistical agencies of mapping noisy, short, and inconsistently formatted retail product names from transaction and receipt data to standardiz…

researchproduct-classificationrule-based-classificationbag-of-wordshuman-in-the-loop

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Multi-Agent Computer Use

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Multi-Agent Computer Use

·9 min read·Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried

This paper addresses the limitations of current computer use agents (CUAs), which typically operate as single serial agents executing tasks step-by-step

researchmulti-agent-systemscomputer-use-agentslong-horizon-planningtask-decomposition

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New Windows on Heavy Dark Matter — Mineral Melt Modelling and X-Ray Readout for Muscovite Mica

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New Windows on Heavy Dark Matter — Mineral Melt Modelling and X-Ray Readout for Muscovite Mica

·8 min read·Yilda Boukhtouchen, Joseph Bramante, Andrew Buchanan et al.

This work advances the use of muscovite mica as a paleodetector material for searching for heavy composite dark matter (DM) with masses far beyond the reach of conventional direct detection experim…

researchdark-matter-paleodetectorthermal-spike-modelmica-mineralx-ray-fluorescence

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Practical Limits on Integrated Squeezers

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Practical Limits on Integrated Squeezers

·8 min read·Devin J. Dean, Taewon Park, Lars S. Madsen et al.

This paper addresses the practical fundamental limits on the generation and measurement of squeezed vacuum states using integrated photonic technologies

researchintegrated-photonicsquantum-opticssqueezed-lightnoise-modeling

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Transferable Self-Harm Surveillance from Emergency Department Triage Notes Using an Evidence-Augmented Machine Learning Approach

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Transferable Self-Harm Surveillance from Emergency Department Triage Notes Using an Evidence-Augmented Machine Learning Approach

·8 min read·Liuliu Chen, Gowri Rajaram, Eleanor Bailey et al.

This paper addresses the challenge of scalable, accurate surveillance of self-harm in Emergency Department (ED) triage notes, where reliance on diagnostic codes shows low sensitivity

researchself-harm-surveillancenatural-language-processinglarge-language-modelstransfer-learning

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