Do Multimodal Large Language Models Truly See What We Point At? Investigating Indexical, Iconic, and Symbolic Gesture Comprehension (2025.acl-short)
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| Challenge: | In recent years, multimodal large language models (MLLMs) excel at integrating textual, auditory, and visual information, but their ability to accurately interpret gestures remains underexplored. |
| Approach: | They annotated five gesture type labels to 925 gesture instances from the Miraikan SC Corpus and analyzed gesture descriptions generated by state-of-the-art MLLMs, including GPT-4o. |
| Outcome: | The proposed models lack real-world referential understanding and are inconsistent in interpreting indexical gestures. |
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