Fact :Teaching MLLMs with Faithful, Concise and Transferable Rationales

Fact :Teaching MLLMs with Faithful, Concise and Transferable Rationales

17 April 2024

Liang Pang

Papers citing "Fact :Teaching MLLMs with Faithful, Concise and Transferable Rationales"

3 / 3 papers shown

Title
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 126 375 0 07 Nov 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 220 499 0 03 May 2023
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 208 900 0 27 Apr 2023