AI RESEARCH
CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs
arXiv CS.CV
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ArXi:2604.20460v1 Announce Type: new Safety-critical traffic reasoning requires contrastive consistency: models must detect true hazards when an accident occurs, and reliably reject plausible-but-false hypotheses under near-identical counterfactual scenes. We present CCTVBench, a Contrastive Consistency Traffic VideoQA Benchmark built on paired real accident videos and world-model-generated counterfactual counterparts, together with minimally different, mutually exclusive hypothesis questions.