Veagle: Advancements in Multimodal Representation Learning

Veagle: Advancements in Multimodal Representation Learning

18 January 2024

Sukrit Chaterjee

Ishaan Bhola

Papers citing "Veagle: Advancements in Multimodal Representation Learning"

7 / 7 papers shown

Title
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks Mohammad Saleha Azadeh Tabatabaeib 52 0 0 14 Apr 2025
V-Zen: Efficient GUI Understanding and Precise Grounding With A Novel Multimodal LLM Abdur Rahman Rajat Chawla Muskaan Kumar Arkajit Datta Adarsh Jha NS Mukunda Ishaan Bhola 40 2 0 24 May 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 206 900 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 267 4,229 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 308 11,915 0 04 Mar 2022
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 273 1,081 0 17 Feb 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,817 0 17 Sep 2019