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Lizhi Lin

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#artificial intelligence Preprint Sep 2026

WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents

Recent efforts to scale tool-use post-training have largely centered on the synthesis of executable environments, which constitute only one component of a broader agentic interaction system comprising the environment, task, agent harness, and evaluator. Scaling environments in isolation, however, does not guarantee com...

Bo Mao, Hang He, Lin-Ting Wang 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

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