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ACM Multimedia 2025Grand Challenges

MIRAGE25: ACM MM25 Multimodal Interleaved Reasoning and Generation Challenge

Dong Chen 0017, Fei Gao, Zhengqing Hu, Xiaojun Chang

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3746027.3762000 ↗

摘要

We introduce the MIRAGE Challenge, a comprehensive benchmark for multimodal interleaved reasoning and generation, to ACM MM 2025. The challenge aims to evaluate models' abilities to both understand and generate content from complex, multimodal contexts consisting of interlinked images and text. The challenge is accompanied by the MIRAGE Dataset, comprising 263.7K high-quality instruction-response pairs across 35 tasks in two tracks: reasoning and generation. These pairs span 20 diverse scenarios, from surveillance to artistic creation, ensuring broad coverage. The challenge includes seven major categories: Multi-Image Reasoning, Document and Knowledge-Based Understanding, Interactive Multi-Modal Communication, Multi-Image Discrimination, Sequential Visual Generation, Material-based Image Coloring, and Visual Reference Customization. Hosting the MIRAGE Challenge at MM 2025 will drive significant progress in unified multimodal learning and inspire broad involvement in developing more versatile AI systems capable of both understanding and generating multimodal content. Challenge details and participation information are available at https://mm25mirage.github.io/mirage/.