A new benchmark shows MLLMs underperform humans on meeting Theory-of-Mind tasks, especially detecting pseudo-consensus and hidden dissent.
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A review of affective computing: From unimodal analysis to multimodal fusion.Information Fusion, 37:98–125, 2017
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MeetingToM: Evaluating Multimodal LLMs on Theory-of-Mind Reasoning in Multi-Party Meetings
A new benchmark shows MLLMs underperform humans on meeting Theory-of-Mind tasks, especially detecting pseudo-consensus and hidden dissent.