mPLUG-Owl3

Reported on 3 benchmarks across 3 tasks · 1 paper

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

Natural Language Processing2 results

Visual Question Answering (VQA)onMM-Vet
GPT-4 score· 2024-08-09
40.1
best: 74.24 (MMCTAgent (GPT-4 + GPT-4V))
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models arXiv:2408.04840
Visual Question AnsweringonMM-Vet
GPT-4 score· 2024-08-09
40.1
best: 74.24 (MMCTAgent (GPT-4 + GPT-4V))
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models arXiv:2408.04840

Reasoning1 result

Video Question AnsweringonTVBench
Average Accuracy· 2024-08-09
42.2
best: 63.6 (Seed1.5-VL thinking)
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models arXiv:2408.04840