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Wei-Yang Liu

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#natural language process... Preprint Sep 2026

JEPA-Anything: Learning Predictive Models across Different Worlds

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
#artificial intelligence Preprint Sep 2026

Concept-Grounded Reasoning with Prompt-Driven Localization for Interpretable Structured Report Generation

Experiments on BUS-CoT and IU X-ray datasets demonstrate consistent improvements in diagnostic accuracy, concept consistency, and report quality over strong general-purpose and medical MLLMs, indicating that concept-grounded reasoning better aligns generation with clinical decision processes.

Xin-Yue Xu, Hong-Bin Lin, Juan-Gui Xu et al. · 0 citations

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