Author

Jia-Wei Wang

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#artificial intelligence Preprint Sep 2026

FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models

The proposed FLY-EVAL++ is an evidence-driven evaluation protocol that combines deterministic verification of protocol compliance, physical feasibility, and safety constraints with fixed rubric-guided aggregation into interpretable multi-dimensional scores.

Ya-Lun Wu, Jun-Feng Fang, Jia-Wei Wang et al. · 0 citations

#artificial intelligence Preprint Jul 2026

Risk-Aware Decision-Making for Autonomous Overtaking: A World Model-Based Mixture-of-Experts Framework

A World Model-based Risk-aware Mixture-of-Experts (WM-RMoE) framework is proposed, which uniquely exhibits the ability to generate foresighted and semantically distinct overtaking maneuvers across diverse traffic densities.

Yongzhi Liu, Su-Nan Zhang, Jin-Chang Xu et al. · 0 citations