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Liang He

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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 Jul 2026

AutoMem: A Text-Gradient Recursive Self-Improvement Framework for Automated Memory Architectures Search

This work proposes \textsc{AutoMem}, a text-gradient recursive self-improvement framework for task-adaptive memory architecture search that consistently discovers task-adaptive memory architectures that outperform the strongest human-designed memory baselines.

Lin-Ge Du, Jie Zhou, Yuxuan Cai et al. · 0 citations

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