2 papers
cs.AI2026
Agentic ML Exploration (A-MLE) for Ads Ranking
Erwin Gao, Vinodh Kumar Sunkara, Jingyi Guan +36
Modern industrial ads ranking stacks are increasingly bottlenecked not by model capacity or training compute, but by the throughput of human ML iteration - the cycles of research,…
cs.SE2025
A Note on Code Quality Score: LLMs for Maintainable Large Codebases
Sherman Wong, Jalaj Bhandari, Leo Zhou Fan Yang +6
Maintaining code quality in large-scale software systems presents significant challenges, particularly in settings where a large numbers of engineers work concurrently on a codebas…