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Attribution
OmniBench: Towards The Future of Universal Omni-Language Models
arXiv 2024
LIME: Less Is More for MLLM Evaluation
from 2 papers
Chenghua Lin
Ge Zhang
researcher
Jian Yang
Siwei Wu
Wenhao Huang
Xingwei Qu
Yizhi Li
Bo Li
Emmanouil Benetos
Feiteng Fang