SPHINX-Plus

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· 2024-02-08
47.9
best: 74.24 (MMCTAgent (GPT-4 + GPT-4V))
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models arXiv:2402.05935
Visual Question AnsweringonMM-Vet
GPT-4 score· 2024-02-08
47.9
best: 74.24 (MMCTAgent (GPT-4 + GPT-4V))
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models arXiv:2402.05935

Reasoning1 result

Video Question AnsweringonMVBench
Avg.· 2024-02-08
39.7
best: 69.3 (LinVT-Qwen2-VL (7B))
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models arXiv:2402.05935