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Meng-Yang Liu

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#machine learning Preprint Oct 2026

SPROUT: Scaling Agentic Reinforcement Learning for Long-Horizon Software Engineering

Reinforcement learning (RL) has driven substantial progress in coding agents by relying on verified successful trajectories as learning signals. However, such trajectories are scarce in long-horizon software engineering tasks, where a minor error can invalidate the entire rollout. Repeatedly restarting from the initial...

Mengyang Liu, Wei-Ming Wang, Hai-Xin Nan et al. · 1 citation
#artificial intelligence Preprint Sep 2026

OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime

Multi-agent coding systems are designed to tackle complex software engineering tasks through collaboration. However, existing evaluations typically assume configured organizations are followed faithfully, whereas reality differs. This behavioral gap, combined with differences in underlying system components, prevents c...

Chun-Wah Hsu, Kai Gong, Yu Wu et al. · 2 citations

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