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Self-driving cars use large language models to drive.

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CONTESTED PARTIAL
Recorded sources
3 sources for · 1 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that Self-driving cars use large language models to drive?

Partly. Some sources describe large language models being applied to autonomous driving as a reasoning or interaction layer, while one source states self-driving cars rely on deep neural networks for driving. None of the retrieved items shows LLMs actually performing the driving function in deployed cars.

Verdict: CONTESTED PARTIAL · 3 sources for, 1 against · Last checked

The private library was unavailable for some searches in this check. Missing library results are not evidence against the claim.

Evidence for · 3
2023
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Dialogue-based generation of self-driving simulation scenarios using Large Language Models. (2023). doi.org. https://doi.org/10.18653/v1/2023.splurobonlp-1.1

Evidence against · 1
2026
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EM, K., A, D., SU, L., T, P., S, R., Y, H., L, M., MS, T., & JA, S. (2026). Explainable deep learning improves human mental models of self-driving cars.. doi.org. https://doi.org/10.1038/s41586-026-10950-5

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More for · 2
2026
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Building Foundation Agents with Internet Knowledge and Large Language Models. (2026). doi.org. https://doi.org/10.7907/r2ax-s535

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[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends. (n.d.). arxiv.org. https://arxiv.org/abs/2410.15281

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