Author

Minghao Yang

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Jul 2026

Listen, Do Not Copy: Internalizing Audio-Grounded Scaffold Context for Robust Omni-Model Speech Understanding

Omni models transcribe clean, single-speaker speech well, but their accuracy drops sharply when speakers overlap and the scene is noisy, exactly where knowing who said what matters most. A natural fix is a short scene description. We show why this is risky: answer-bearing text lets the model copy instead of listen, so...

Peng-Fei Zhang, Biao Tian, Tianxin Xie et al. · arXiv.org · 0 citations

Conference Open access Sep 2026

Perturbation-Resilient Autonomous Navigation with Distributionally Robust Reinforcement Learning

DRIQN is proposed to integrate Distributionally Robust Optimization (DRO) with implicit quantile networks to optimize worst-case performance under natural environmental conditions and incorporates heterogeneous noise sources and target robustness-critical scenarios.

Zhao-Fan Zhang, Ming-Hao Yang, Si-Hong Xie et al. · Proceedings of the Thirty-Fi... · 0 citations

Preprint Jul 2026

Branch-JEPA: Finite-Support Predictive Distributions for JEPA World Models

Branch-JEPA is introduced, which replaces this point-valued transition with a context-weighted finite set of latent successors, and preserves more distinct futures, while full-set scoring improves the quality of the resulting predictive distribution.

Zhi Song, Ximing Xing, Zhenchao Tang et al. · 0 citations