Abstract: Performance predictors are used to reduce architecture evaluation costs in neural architecture search, which however suffers from a large amount of budget consumption in annotating ...

Abstract: Causal inference is an important field in data science and cognitive artificial intelligence. It requires the construction of complex probabilistic models to describe the causal ...

A comprehensive tool for generating RAG (Retrieval-Augmented Generation) eval datasets from Confluence pages (more sources planned). This system uses a distributed architecture with Kafka for task ...

Among the ten submissions, "How Much?" stood out for its critical examination of the modernist notion of "cheapness," where seemingly cost-effective solutions have often proved expensive socially, ...