Author

Boyi Li

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#artificial intelligence Preprint Oct 2026

Grounding What Shapes the Plan: Rethinking Groundedness for Physical Intelligence in Autonomous Driving

Driving models increasingly ground reasoning in causal relations, spatial structure, perceptual evidence, and predicted futures. These advances make reasoning more faithful to the driving scene, but leave a fundamental question unresolved: what should groundedness mean when the model ultimately outputs an action? Corre...

Minkyoung Cho, Ze-Wei Zhou, Wen-Hao Ding et al. · 0 citations

Preprint Aug 2026

Guardrail-Agnostic Societal Bias Evaluation in Large Vision-Language Models

A societal bias evaluation method for large vision-language models (LVLMs) in the era of strong safety guardrails is proposed, finding that all models undesirably use user demographic information in person-irrelevant tasks.

Yusuke Hirota, Michael Boone, Arun George Zachariah et al. · 0 citations

#artificial intelligence Jun 2026

Planning-aligned Token Compression for Long-Context Autonomous Driving

This work proposes COMPACT-VA, a planning-aligned working memory framework built on conditional VQ-VAE, compressing extended context into bounded representations, and evaluates on high-signal dynamic scenarios where historical context is most critical for behavior correctness, and accordingly design behavioral metrics.

Zhixuan Liang, Yuxiao Chen, Yurong You et al. · arXiv.org · 1 citation