Search Results for author:
Found 4 papers, 2 papers with code
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
Today, a vast amount of various kinds of open-source software, which form networks of repositories, is often hosted on GitHub - a popular software development platform.
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning
In case our approach fails to determine an overfitting patch based on invariants, INVALIDATOR utilizes a trained model from labeled patches to assess patch correctness based on program syntax.
Toward the Analysis of Graph Neural Networks
Graph Neural Networks (GNNs) have recently emerged as a robust framework for graph-structured data.
Usability and Aesthetics: Better Together for Automated Repair of Web Pages
In this paper, we propose an automated repair approach for web pages based on meta-heuristic algorithms that can assure both usability and aesthetics.
