Small open-weight models (2-9B) run on ordinary laptops, but under cloud-scale agent harnesses they rarely complete real…
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AI systems increasingly produce outputs from confidential data, such as a fitness-for-duty assessment from medical recor…
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Emergency department (ED) triage is a high-stakes prioritization task in which demographic, socioeconomic, and system-co…
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Ransomware has emerged as a major cybersecurity threat, with incidents increasing in frequency and impact across critica…
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Exam-style accuracy does not establish whether large language models (LLMs) reason well over clinical records.We define…
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Large Language Models (LLMs) have demonstrated remarkable fluency across many tasks but remain limited by their static,…
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Cross-lingual contrastive learning has been a core component of multilingual encoder training, but the ability to explic…
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Latent visual reasoning equips vision--language models with continuous intermediate states that can process visual evide…
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Asynchronous reinforcement learning (RL) improves the efficiency of large language model post-training but introduces st…
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By 2030, Internet of Things (IoT) devices are projected to reach 40 billion, with fast-paced technological advancements…
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