arXiv:2602.09071v1 Announce Type: new Abstract: The ability to automatically classify source code repositories with ”topics” that reflect their content and purpose is very useful, especially when navigating or searching through large software collections. However, existing approaches often rely heavily on README files and other metadata, which are frequently missing, limiting their applicability in real-world large-scale settings. We present DRAGON, a repository classifier designed for very large and diverse software collections. It operates entirely on lightweight signals commonly stored […]

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arXiv:2601.02378v1 Announce Type: new Abstract: As the application of Embodied AI Agents in avatars, wearable devices, and robotic systems continues to deepen, their core research challenges have gradually shifted from physical environment interaction to the accurate understanding of social interactions. Traditional physical world models (PWM) focus on quantifiable physical attributes such as space and motion, failing to meet the needs of social intelligence modeling. In contrast, the Mental World Model (MWM), as a structured representation of humans’ internal […]

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Key Highlights: Google appears to be all set for a massive push into native audio, and AI Studio is where the first signs are starting to show. Over the past few days, users digging through AI Studio have spotted an interesting new option in the interface. A hidden “Create Your Voice” option has been spotted in AI Studio The news comes via Testing Catalog, which reports that when you select the Flash native audio preview model, powered by […]

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Was Daft Punk Having a Laugh When They Chose the Tempo of Harder, Better, Faster, Stronger? Depending on how you measure it, the tempo of Harder, Better, Faster, Stronger appears to be 123.45 beats per minute. This is one of those things that’s so cool I’m just going to accept it as true. (I only today learned from the Hacker News comments that Veridis Quo is “Very Disco”, and if you flip the order of those words you […]

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arXiv:2603.03300v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) offers significant potential for legal AI, yet systematic benchmarks are sparse. Prior work introduced LaborBench to benchmark RAG models based on ostensible ground truth from an exhaustive, multi-month, manual enumeration of all U.S. state unemployment insurance requirements by U.S. Department of Labor (DOL) attorneys. That prior work found poor performance of standard RAG (70% accuracy on Boolean tasks). Here, we assess three emerging tools not previously evaluated on LaborBench: the […]

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Background: Respiratory diseases are a leading cause of childhood morbidity and mortality, yet lung auscultation remains subjective and limited by inter-listener variability, particularly in pediatric populations. Existing AI approaches are further constrained by small datasets and single-task designs. We developed PulmoVec, a multi-task framework built on the Health Acoustic Representations (HeAR) foundation model for classification of pediatric respiratory sounds. Methods: In this retrospective analysis of the SPRSound database, 24,808 event-level annotated segments from 1,652 pediatric patients were analyzed. […]

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arXiv:2603.28994v1 Announce Type: new Abstract: Knowledge Distillation (KD) has been widely used to improve the quality of latency sensitive models serving live traffic. However, applying KD in production recommender systems with low traffic is challenging: the limited amount of data restricts the teacher model size, and the cost of training a large dedicated teacher may not be justified. Cross-domain KD offers a cost-effective alternative by leveraging a teacher from a data-rich source domain, but introduces unique technical difficulties, […]

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arXiv:2601.20006v1 Announce Type: new Abstract: The rapid progress of large language models has enabled the generation of text that closely resembles human writing, creating challenges for authenticity verification in education, publishing, and digital security. Detecting AI-generated text has therefore become a crucial technical and ethical issue. This paper presents a comprehensive study of AI-generated text detection based on large-scale corpora and novel training strategies. We introduce a 1-billion-token corpus of human-authored texts spanning multiple genres and a 1.9-billion-token […]

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