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

25 January 2024

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

5 / 5 papers shown

Title
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Yibo Yan Shen Wang Jiahao Huo Jingheng Ye Zhendong Chu Xuming Hu Philip S. Yu Carla P. Gomes B. Selman Qingsong Wen LRM 127 9 0 05 Feb 2025
MULTI: Multimodal Understanding Leaderboard with Text and Images Zichen Zhu Yang Xu Lu Chen Jingkai Yang Yichuan Ma ... Yingzi Ma Situo Zhang Zihan Zhao Liangtai Sun Kai Yu VLM 54 5 0 08 Jan 2025
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 126 379 0 07 Nov 2023
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 284 4,244 0 30 Jan 2023
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 Ashwin Kalyan ELM ReLM LRM 211 1,113 0 20 Sep 2022