Probing the Reliability of Driving VLMs: From Inconsistent Responses to Grounded Temporal Reasoning
Probing the Reliability of Driving VLMs: From Inconsistent Responses to Grounded Temporal Reasoning explores A benchmark dataset and tuning approach to enhance the reliability of Vision-Language Models in driving assistance through improved temporal reasoning.. Commercial viability score: 6/10 in Driving Assistants.
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