Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection

ArXi:2506.19420v2 Announce Type: replace Multimodal sarcasm understanding is a high-order cognitive task. Although large language models (LLMs) have shown impressive performance on many downstream NLP tasks, growing evidence suggests that they struggle with sarcasm understanding. In this paper, we propose Commander-GPT, a modular decision routing framework inspired by military command theory.