InternLM-XC2 + MMDU-45k

Reported on 2 benchmarks across 2 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· 2024-06-17
38.8
best: 74.24 (MMCTAgent (GPT-4 + GPT-4V))
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs arXiv:2406.11833
Visual Question AnsweringonMM-Vet
GPT-4 score· 2024-06-17
38.8
best: 74.24 (MMCTAgent (GPT-4 + GPT-4V))
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs arXiv:2406.11833