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Automated video interview assessments can now achieve expert-level accuracy with a compact model that reveals the evidence behind each score.
Current attention mechanisms misjudge the relevance of visual information, risking the loss of crucial context in multimodal dialog systems.
MLLMs struggle with artistic intent, scoring only 48.29% on a benchmark designed to evaluate nuanced understanding in audiovisual arts.
