Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. Retrieved May 24, 2026, from https://4ort.xyz/entity/mmmu-a-massive-multi-discipline-multimodal-understanding-and-reasoning-benchmark-for-expert-agi
MLA“MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mmmu-a-massive-multi-discipline-multimodal-understanding-and-reasoning-benchmark-for-expert-agi.
BibTeX@misc{4ortxyz_mmmu-a-massive-multi-discipline-multimodal-understanding-and-reasoning-benchmark-for-expert-agi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI}}, year = {2026}, url = {https://4ort.xyz/entity/mmmu-a-massive-multi-discipline-multimodal-understanding-and-reasoning-benchmark-for-expert-agi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI — https://4ort.xyz/entity/mmmu-a-massive-multi-discipline-multimodal-understanding-and-reasoning-benchmark-for-expert-agi (retrieved 2026-05-24)
