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Xiaobin Hu

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Preprint Aug 2026

Quo Vadis, World Modeling?

This work conceptualize Agent-Centric Interactive World Proxies, shifting the fundamental paradigm from physical state transitions to agent-usable information transitions, such as execution outcomes, retrieved experiences or skills, and verification signals, broadening the scope of world modeling to provide versatile f...

Yu Yang, Xuemeng Yang, Licheng Wen et al. · 0 citations
#machine learning Preprint Aug 2026

JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution

To the authors' knowledge, JIT-Agent is the first model purpose-built for just-in-time harness generation, establishing harness intelligence as a trainable, transferable, and compounding dimension of agent capability orthogonal to model scaling.

Gui-Bin Zhang, Leo Lu, Fang-Zhou Xie et al. · 14 citations

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