NeuroFlake integrates discriminative token mining into LLMs to classify flaky tests, raising F1-score to 69.34% on FlakeBench while showing greater robustness to semantic-preserving perturbations than prior methods.
2008.Introduction to information retrieval
2 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 2roles
dataset 1polarities
use dataset 1representative citing papers
Visualization retrieval systems can transform static collections of visualizations into dynamic, inquiry-based environments that support design exploration, data consumption, and resource management for data literacy education.
citing papers explorer
-
NeuroFlake: A Neuro-Symbolic LLM Framework for Flaky Test Classification
NeuroFlake integrates discriminative token mining into LLMs to classify flaky tests, raising F1-score to 69.34% on FlakeBench while showing greater robustness to semantic-preserving perturbations than prior methods.
-
Visualization Retrieval for Data Literacy: Position Paper
Visualization retrieval systems can transform static collections of visualizations into dynamic, inquiry-based environments that support design exploration, data consumption, and resource management for data literacy education.