Author

Wanli Ouyang

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#machine learning Preprint Aug 2026

Orthogonal JEPA: Factorized Predictive States for Latent World Models

Method, a latent world-modeling framework based on orthogonal predictive factorization, is introduced, a latent world-modeling framework based on orthogonal predictive factorization that can be used by a readout, decoder, planner, or autoregressive rollout of an underlying system.

Tao-Yong Cui, Pheng-Ann Heng, Wan-Li Ouyang · 0 citations

Book Open access Aug 2026

Chem-R: Learning to Reason as a Chemist

The proposed Chem-R, a general Chemical Reasoning model designed to emulate the deliberative processes of chemists, achieves state-of-the-art performance on comprehensive benchmarks, surpassing leading LLMs, including Gemini-3-Pro and Kimi-k2.5.

Weida Wang, Benteng Chen, Di Zhang et al. · Proceedings of the 32nd ACM... · 0 citations