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v2.5.10: Dosage Units (mEq, Puffs, Ampules), Home Timeline View, Slide Alarm Actions, and Appearance Settings Summary of Changes Release v2.5.10 introduces support for additional medication dosage units (mEq, puffs, and ampules), a clean expanded vertical timeline view for the home screen, dedicated sliding gesture tra...
Supporting materials for scoping review: Literature list
Tools that use large language models (LLMs) to flag security problems in code must also explain them: which requirement is violated, and how to fix it. These explanations are only useful if they cite the right authoritative source. The common way to supply that source is vector retrieval-augmented generation (RAG), whi...
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Purpose This paper examines the ethical and epistemological implications of language generated by large language models (LLMs) through the lenses of speech act theory, conversational implicature and second-order cybernetics. LLMs are often presented as neutral tools, yet their outputs actively participate in shaping di...
Promotional language in scientific and institutional documents is usually dismissed as individual failing or passing fashion. Using Bourdieu's field theory, the Sociology of Expectations and Bacchi's problem representation, we argue instead that it reflects scientific documents' structural position and institutional do...
Recent advances in articial intelligence (AI), particularly large language models, havesignicantly improved performance in language understanding, vision, and reasoning. How-ever, a fundamental limitation remains: current AI systems still lack an explicit under-standing of the logical structure by which humans make dec...
Modern condition-monitoring systems generate heterogeneous information, such as high-rate sensor streams, derived health indicators, and discrete event histories, that must be combined into actionable diagnostic statements. Large language models (LLMs) are attractive as a decision-level fusion mechanism because they na...
PESTO (Prior Evidence Status from Text and Ontologies) classifies the prior evidence for a gene–phenotype association as Novel, Hypothesized, Existing or Established, from the PubMed literature read by a language model and, separately, from the Open Targets Platform. This record accompanies the manuscript Large languag...
PESTO (Prior Evidence Status from Text and Ontologies) classifies the prior evidence for a gene–phenotype association as Novel, Hypothesized, Existing or Established, from the PubMed literature read by a language model and, separately, from the Open Targets Platform. This record accompanies the manuscript Large languag...
Large language models (LLMs) are increasingly being deployed in distributed settings, where different nodes may work on heterogeneous data, user populations, and local model updates. In such settings, bias can arise in an emergent fashion via local interactions and spread over the connected nodes, turning fairness into...
Large-scale surveys often use cognitive test total scores to describe group differences, but the construct meaning of such scores depends on task content, administration, language experience, and opportunities to learn. The China Family Panel Studies (CFPS) word test is an oral Mandarin character reading task with educ...
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Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
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Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
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