On two Twitter multimodal aspect-based sentiment benchmarks, zero-shot/few-shot LLMs like Llama2, LLaVA, and ChatGPT score 7 to 16 F1 points below supervised baselines and take orders of magnitude longer to run.
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Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions
On two Twitter multimodal aspect-based sentiment benchmarks, zero-shot/few-shot LLMs like Llama2, LLaVA, and ChatGPT score 7 to 16 F1 points below supervised baselines and take orders of magnitude longer to run.