TouchStone: Evaluating Vision-Language Models by Language Models

TouchStone: Evaluating Vision-Language Models by Language Models

31 August 2023

Shuai Bai

Shusheng Yang

Jinze Bai

Peng Wang

Chang Zhou

Jingren Zhou

Papers citing "TouchStone: Evaluating Vision-Language Models by Language Models"

7 / 7 papers shown

Title
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? Yi-Fan Zhang Huanyu Zhang Haochen Tian Chaoyou Fu Shuangqing Zhang ... Qingsong Wen Zhang Zhang L. Wang Rong Jin Tieniu Tan OffRL 55 36 0 23 Aug 2024
How Culturally Aware are Vision-Language Models? Olena Burda-Lassen Aman Chadha Shashank Goswami Vinija Jain VLM 34 0 0 24 May 2024
TempCompass: Do Video LLMs Really Understand Videos? Yuanxin Liu Shicheng Li Yi Liu Yuxiang Wang Shuhuai Ren Lei Li Sishuo Chen Xu Sun Lu Hou VLM 41 98 0 01 Mar 2024
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Qinghao Ye Haiyang Xu Guohai Xu Jiabo Ye Ming Yan ... Junfeng Tian Qiang Qi Ji Zhang Feiyan Huang Jingren Zhou VLM MLLM 206 899 0 27 Apr 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 259 4,223 0 30 Jan 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021