Probing multimodal llms as world models for driving

S Sreeram, TH Wang, A Maalouf, G Rosman… - arxiv preprint arxiv …, 2024 - arxiv.org
We provide a sober look at the application of Multimodal Large Language Models (MLLMs)
in autonomous driving, challenging common assumptions about their ability to interpret …

Generating Out-Of-Distribution Scenarios Using Language Models

E Aasi, P Nguyen, S Sreeram, G Rosman… - arxiv preprint arxiv …, 2024 - arxiv.org
The deployment of autonomous vehicles controlled by machine learning techniques
requires extensive testing in diverse real-world environments, robust handling of edge cases …

Risk-Aware Driving Scenario Analysis with Large Language Models

Y Gao, M Piccinini, J Betz - arxiv preprint arxiv:2502.02145, 2025 - arxiv.org
Large Language Models (LLMs) can capture nuanced contextual relationships, reasoning,
and complex problem-solving. By leveraging their ability to process and interpret large-scale …