Fine-tuning VLMs for driving erodes pre-trained world knowledge, but shifting adaptation to prompt space via the Drive Expert Adapter preserves generalization while improving task performance.
Robotron- drive: All-in-one large multimodal model for autonomous driving
2 Pith papers cite this work. Polarity classification is still indexing.
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Presents RoadTones-51K dataset, RoadTones-VL-CoT model with tone-conditioned CoT, and RoadTones-Eval suite for controllable tone in road video captioning, supported by user study.
citing papers explorer
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The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models
Fine-tuning VLMs for driving erodes pre-trained world knowledge, but shifting adaptation to prompt space via the Drive Expert Adapter preserves generalization while improving task performance.
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RoadTones: Tone Controllable Text Generation from Road Event Videos
Presents RoadTones-51K dataset, RoadTones-VL-CoT model with tone-conditioned CoT, and RoadTones-Eval suite for controllable tone in road video captioning, supported by user study.