1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.SE2026★ 1 cited
Learning to Generate Unit Test via Adversarial Reinforcement Learning
Dongjun Lee, Changho Hwang, Kimin Lee
Unit testing is a core practice in programming, enabling systematic evaluation of programs produced by human developers or large language models (LLMs). Given the challenges in wri…
cs.DC2026
MSCCL++: Rethinking GPU Communication Abstractions for AI Inference
Changho Hwang, Peng Cheng, Roshan Dathathri +12
AI applications increasingly run on fast-evolving, heterogeneous hardware to maximize performance, but general-purpose libraries lag in supporting these features. Performance-minde…
cs.LG2025
Alchemist: Towards the Design of Efficient Online Continual Learning System
Yuyang Huang, Yuhan Liu, Haryadi S. Gunawi +2
Continual learning has become a promising solution to refine large language models incrementally by leveraging user feedback. In particular, online continual learning - iteratively…