3 papers
cs.CL2026
A^2Agent: Action-Aware Reinforcement Learning for Repository-Level Code Localization Agents
Doyeon Kim, Suyoung Bae, Yumin Lee +1
Localizing issue-relevant code regions is a critical step in automated software engineering. However, due to their reliance on sparse trajectory-level signals, existing methods can…
cs.CL2026
ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization
Suyoung Bae, CheolWon Na, Jaehoon Lee +3
As Large Language Models (LLMs) have become capable of generating long and descriptive code summaries, accurate and reliable evaluation of factual consistency has become a critical…
cs.DL2026
MEDFORD in a Box: Improvements and Future Directions for a Metadata Description Language
Polina Shpilker, Benjamin Stubbs, Michael Sayers +6
Scientific research metadata is vital to ensure the validity, reusability, and cost-effectiveness of research efforts. The MEDFORD metadata language was previously introduced to si…