An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models

An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models

18 September 2023

Jianwei Yang

Papers citing "An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models"

4 / 4 papers shown

Title
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models Wenlong Deng Yize Zhao V. Vakilian Minghui Chen Xiaoxiao Li Christos Thrampoulidis 39 3 0 12 Oct 2024
Learning Video Context as Interleaved Multimodal Sequences S. Shao Pengchuan Zhang Y. Li Xide Xia A. Meso Ziteng Gao Jinheng Xie N. Holliman Mike Zheng Shou 43 5 0 31 Jul 2024
Multimodal Foundation Models: From Specialists to General-Purpose Assistants Chunyuan Li Zhe Gan Zhengyuan Yang Jianwei Yang Linjie Li Lijuan Wang Jianfeng Gao MLLM 115 228 0 18 Sep 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 270 4,244 0 30 Jan 2023