JEPA-Anything, a domain-agnostic framework based on orthogonal predictive factorization (OPF), achieves the lowest one-step and 100-step molecular errors among compared methods in all four systems and supports a common factorized predictive principle across heterogeneous worlds.
Tao-Yong Cui, Zhong-Yao Wang, Xin-Yue Xu et al.· 2 citations
This work introduces and releases ScienceBuddy, an interactive scientific research workspace that brings continually improving scientific agents into researchers'everyday workflows and presents case studies of researcher interaction, harness refinement, and model learning, with the benchmark cases spanning four scienti...
Shu-Han Xue, Jian-Yuan Zhong, Ziyuan Nan et al.· 2 citations
Recuris, a recursive Experiential-Working Memory architecture for long-horizon agent harnesses, in which Working Memory tracks task progress and guides skill selection from Experiential Memory, grounding skill use in current needs rather than the full history, positions recursively evolving memory as a scalable foundat...
Zhao-Chen Yu, Ying-Cheng Wu, Zhen-Fei Yin et al.· 4 citations
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