Author

Longtao Zheng

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#natural language process... Review Oct 2026

AutoCompact: Learning When to Compact Context in Long-Horizon Coding Agents

Coding agents solve repository-level software engineering tasks through long trajectories of code inspection, search, editing, and testing. As a task progresses, earlier exploration becomes stale, so managing context is more than avoiding overflow: an agent must decide when to compact, what working state to preserve, a...

Xuan Zhang, Long-Tao Zheng, Cun-Xiao Du et al. · 2 citations

#artificial intelligence Preprint Sep 2026

AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories

AgentBrew is proposed, an offline training framework that learns effective tool-use policies from a single batch of raw interaction trajectories, without task verifiers or iterative on-policy rollouts, and demonstrates that fine-grained offline learning can recover useful supervision from raw trajectories that filterin...

Zhiyi Lyu, Ye-Wen Li, Longtao Zheng et al. · 2 citations