PaSBench-Video benchmark shows no tested MLLM exceeds 20% on strict proactive safety metrics, with recall correlated 0.64 to false-positive rate on safe clips.
Accidentbench: Benchmarking multimodal understanding and reasoning in vehicle accidents and beyond
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3representative citing papers
Audit of four VideoQA benchmarks reveals text-only shortcuts in VLMs; new diagnostics Blind Gap, Visual Gain, and Shortcut Score quantify and filter visual dependence.
An agentic three-stage video annotation pipeline with an MSTED intermediate and top-down domain adaptation produces CoT training data that lifts Cosmos-Reason2 past Gemini on traffic event reasoning.
citing papers explorer
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PaSBench-Video: A Streaming Video Benchmark for Proactive Safety Warning
PaSBench-Video benchmark shows no tested MLLM exceeds 20% on strict proactive safety metrics, with recall correlated 0.64 to false-positive rate on safe clips.
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From Accuracy to Visual Dependence: Auditing and Filtering Modality Collapse in Traffic VideoQA
Audit of four VideoQA benchmarks reveals text-only shortcuts in VLMs; new diagnostics Blind Gap, Visual Gain, and Shortcut Score quantify and filter visual dependence.
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MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks
An agentic three-stage video annotation pipeline with an MSTED intermediate and top-down domain adaptation produces CoT training data that lifts Cosmos-Reason2 past Gemini on traffic event reasoning.