Search Results for author:
Found 2 papers, 1 papers with code
SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugs
Large language models (LLMs) are transforming automated program repair (APR) through agent-based approaches that localize bugs, generate patches, and verify fixes.
RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion
Furthermore, RepoHyper leverages Expand and Refine retrieval method, including a graph expansion and a link prediction algorithm applied to the RSG, enabling the effective retrieval and prioritization of relevant code snippets.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
