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Cerebra: Aligning Implicit Knowledge in Interactive SQL Authoring
Cerebra aligns implicit knowledge between users and LLMs during SQL authoring by retrieving context from historical scripts and supporting iterative refinement.
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Chirality affects microcritical, not macrocritical, stability
Analysis of periodic lattice metamaterials with rigid joints shows chirality affects microscale stability but not macroscale stability, enabling tailored critical mode activation.
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Spectral metrics predicted requirements integration effort
Spectral graph metrics derived from NLP-extracted requirement networks predict integration effort with 95% correlation, outperforming traditional structural complexity measures for early-stage.
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L1 teachers show moderate acceptance of generative AI
Study of 124 Dutch L1 teachers' beliefs about generative AI in language education, examining acceptance levels, concerns, and opportunities for integration in writing, linguistics, and literature.
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Human-centric Evaluation of Semantic Resources: A Systematic Mapping Study
Systematic mapping of human-centric evaluation approaches for semantic resources like ontologies and knowledge graphs, synthesizing 15 years of research into a theoretical framework.
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Causality-based algorithm extends nonequilibrium Green’s function time simulations
Algorithm exploiting causality for efficient nonequilibrium Green's function calculations via quantics tensor trains, enabling extended simulations of quench dynamics in symmetry-broken phases.
