Commander-GPT is a multi-agent routing framework that assigns sub-tasks in multimodal sarcasm detection to specialized LLMs coordinated by different commander models, reporting average F1 gains of 4.4% and 11.7% on MMSD and MMSD 2.0.
Leveraging generative large language models with visual instruction and demonstration retrieval for multimodal sarcasm detection
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Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection
Commander-GPT is a multi-agent routing framework that assigns sub-tasks in multimodal sarcasm detection to specialized LLMs coordinated by different commander models, reporting average F1 gains of 4.4% and 11.7% on MMSD and MMSD 2.0.