Emu

Reported on 4 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Visual Question Answering (VQA)onInfiMM-Eval
Abductive· 2023-07-11
36.57
best: 77.88 (GPT-4V)
Emu: Generative Pretraining in Multimodality arXiv:2307.05222
Visual Question Answering (VQA)onInfiMM-Eval
Analogical· 2023-07-11
18.19
best: 69.86 (GPT-4V)
Emu: Generative Pretraining in Multimodality arXiv:2307.05222
Visual Question Answering (VQA)onInfiMM-Eval
Deductive· 2023-07-11
28.9
best: 74.86 (GPT-4V)
Emu: Generative Pretraining in Multimodality arXiv:2307.05222
Visual Question Answering (VQA)onInfiMM-Eval
Overall score· 2023-07-11
28.24
best: 74.44 (GPT-4V)
Emu: Generative Pretraining in Multimodality arXiv:2307.05222