RiskCueBench: Benchmarking Anticipatory Reasoning from Early Risk Cues in Video-Language Models

RiskCueBench is a new video‑understanding benchmark that focuses on early risk cues in video‑language models. The dataset annotates the earliest moment in a video that signals a potential safety concern, rather than providing the full sequence that includes the accident. Experiments show a notable gap in current systems’ ability to interpret evolving situations and anticipate future risky events from these early visual signals.

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• llms
• benchmarks
• safety