AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is shown that while curating community-driven data improves the alignment of LLM responses, model performance remains disparate across distinct sub-communities and specific mental health needs.
CliniCIRCA is the first to temporally classify clinical events across unstructured discharge summaries without event-level timestamps and instruction tuning generally improves five open-weight models on event extraction, temporal tagging, and summarization across silver and clinician-verified evaluations.
This work presents CANDOR (Collecting and Analyzing Networked Data for Open Research), an end-to-end infrastructure for participant-mediated collection and governance of sensitive digital trace data, and compares existing data donation infrastructures, identifying how different approaches support participant control, d...
The mental health crisis in young people persists, with adolescents and emerging adults from minority backgrounds facing elevated risk for internalizing symptoms. While social media (SM) use is ubiquitous among U.S. young people, research has primarily focused on time spent on SM and potential harms, with limited a...
The feasibility of using a configurable, source-grounded extraction workflow to convert fragmented oncology documentation into reusable structured data is supported.
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