Author

Y. Suo

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#artificial intelligence Preprint Oct 2026

WorkRover: Scaling Long-Horizon Cowork Agent Training Via Recursive Environment Evolution

Scaling interactive environments is important for training long-horizon agents through reinforcement learning. These environments often require further testing and refinement after initial generation, and correcting defects in a task may also require updating its work context and verifier. However, existing constructio...

Hang He, Lin-Ting Wang, Guan-Ming Liu et al. · 0 citations

Preprint Aug 2026

ContextWeave: A Real-World Workflow Benchmark

ContextWeave is introduced, a longitudinal benchmark that evaluates whether recalled experience improves downstream agent performance in realistic office-work streams and motivates memory systems that optimize not only retrieval relevance but also reliable use during execution.

Bo Wang, Yu Yao, Enxi Wang et al. · 0 citations