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CMMU: A Benchmark for Chinese Multi-modal Multi-type Question
  Understanding and Reasoning

CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning

25 January 2024
Zheqi He
Xinya Wu
Pengfei Zhou
Richeng Xuan
Guang Liu
Xi Yang
Qiannan Zhu
Hua Huang
    ELM
    LRM
ArXivPDFHTML

Papers citing "CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning"

3 / 3 papers shown
Title
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with
  Modality Collaboration
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
Qinghao Ye
Haiyang Xu
Jiabo Ye
Mingshi Yan
Anwen Hu
Haowei Liu
Qi Qian
Ji Zhang
Fei Huang
Jingren Zhou
MLLM
VLM
116
367
0
07 Nov 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
A. Kalyan
ELM
ReLM
LRM
207
1,089
0
20 Sep 2022
1