LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
DeepSeek speculative decoding framework DSpark went live June 27 on V4-Flash and V4-Pro, reporting up to 85 percent faster ...
Update: Tigramite now has a new CausalEffects class that allows to estimate (conditional) causal effects and mediation based on assuming a causal graph. Have a look at the tutorial. Further, Tigramite ...
Abstract: Mental Health Literacy (MHL) is a multidimensional aspect that addresses barriers to seeking professional help. Strong MHL enables individuals to identify mental health challenges and seek ...
eInstitute of Medical Biostatistics, Epidemiology, and Informatics, University Medical Centre of Johannes Gutenberg University Mainz, Mainz, Germany fUniversity Cancer Center at University Medical ...
Conditional Flow Matching (CFM) is a fast way to train continuous normalizing flow (CNF) models. CFM is a simulation-free training objective for continuous normalizing flows that allows conditional ...
ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...
Objective: We aimed to identify intersecting factors associated with increased risk for suicidal ideation, intent, plan, and attempts in the US transgender population health survey (N=274), and ...
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