Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities

8 June 2024

Sai Munikoti

Ian Stewart

Sameera Horawalavithana

Papers citing "Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities"

34 / 34 papers shown

Title
OneLLM: One Framework to Align All Modalities with Language Jiaming Han Kaixiong Gong Yiyuan Zhang Jiaqi Wang Kaipeng Zhang Dahua Lin Yu Qiao Peng Gao Xiangyu Yue MLLM 239 134 0 10 Jan 2025
ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science Sai Munikoti Anurag Acharya S. Wagle Sameera Horawalavithana RALM 87 8 0 21 Nov 2023
There is more to graphs than meets the eye: Learning universal features with self-supervision L. Das Sai Munikoti M. Halappanavar SSL OOD 66 1 0 31 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 295 956 0 27 Apr 2023
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models Jinze Bai Rui Men Han Yang Xuancheng Ren Kai Dang ... Wenhang Ge Jianxin Ma Junyang Lin Jingren Zhou Chang Zhou 77 16 0 08 Dec 2022
Robust Speech Recognition via Large-Scale Weak Supervision Alec Radford Jong Wook Kim Tao Xu Greg Brockman C. McLeavey Ilya Sutskever OffRL 216 3,750 0 06 Dec 2022
InternVideo: General Video Foundation Models via Generative and Discriminative Learning Yi Wang Kunchang Li Yizhuo Li Yinan He Bingkun Huang ... Junting Pan Jiashuo Yu Yali Wang Limin Wang Yu Qiao VLM VGen 139 331 0 06 Dec 2022
M-VADER: A Model for Diffusion with Multimodal Context Samuel Weinbach Marco Bellagente C. Eichenberg Andrew M. Dai R. Baldock Souradeep Nanda Bjorn Deiseroth Koen Oostermeijer H. Teufel Andres Felipe Cruz Salinas DiffM 173 11 0 06 Dec 2022
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions Wenhai Wang Jifeng Dai Zhe Chen Zhenhang Huang Zhiqi Li ... Tong Lu Lewei Lu Hongsheng Li Xiaogang Wang Yu Qiao VLM 170 691 0 10 Nov 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt Willie Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 224 96 0 10 Oct 2022
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks Junke Wang Dongdong Chen Zuxuan Wu Chong Luo Luowei Zhou Yucheng Zhao Yujia Xie Ce Liu Yu-Gang Jiang Lu Yuan MLLM VLM 108 153 0 15 Sep 2022
Multimodal Lecture Presentations Dataset: Understanding Multimodality in Educational Slides Dong Won Lee Chaitanya Ahuja Paul Pu Liang Sanika Natu Louis-Philippe Morency 130 8 0 17 Aug 2022
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably) Yu Huang Junyang Lin Chang Zhou Hongxia Yang Longbo Huang 60 96 0 23 Mar 2022
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework Peng Wang An Yang Rui Men Junyang Lin Shuai Bai Zhikang Li Jianxin Ma Chang Zhou Jingren Zhou Hongxia Yang MLLM ObjD 157 880 0 07 Feb 2022
FLAVA: A Foundational Language And Vision Alignment Model Amanpreet Singh Ronghang Hu Vedanuj Goswami Guillaume Couairon Wojciech Galuba Marcus Rohrbach Douwe Kiela CLIP VLM 114 719 0 08 Dec 2021
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks Xizhou Zhu Jinguo Zhu Hao Li Xiaoshi Wu Xiaogang Wang Hongsheng Li Xiaohua Wang Jifeng Dai 119 133 0 02 Dec 2021
Florence: A New Foundation Model for Computer Vision Lu Yuan Dongdong Chen Yi-Ling Chen Noel Codella Xiyang Dai ... Zhen Xiao Jianwei Yang Michael Zeng Luowei Zhou Pengchuan Zhang VLM 147 908 0 22 Nov 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 355 1,710 0 15 Oct 2021
Pix2seq: A Language Modeling Framework for Object Detection Ting-Li Chen Saurabh Saxena Lala Li David J. Fleet Geoffrey E. Hinton MLLM ViT VLM 279 350 0 22 Sep 2021
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision Zirui Wang Jiahui Yu Adams Wei Yu Zihang Dai Yulia Tsvetkov Yuan Cao VLM MLLM 136 799 0 24 Aug 2021
Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle Sebastian Borgeaud Jean-Baptiste Alayrac Carl Doersch Catalin Ionescu ... Olivier J. Hénaff M. Botvinick Andrew Zisserman Oriol Vinyals João Carreira MLLM VLM GNN 98 584 0 30 Jul 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li Ramprasaath R. Selvaraju Akhilesh Deepak Gotmare Shafiq Joty Caiming Xiong Guosheng Lin FaML 223 1,979 0 16 Jul 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 105 171 0 15 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 502 10,526 0 17 Jun 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text Hassan Akbari Liangzhe Yuan Rui Qian Wei-Hong Chuang Shih-Fu Chang Huayu Chen Boqing Gong ViT 333 590 0 22 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 470 21,603 0 25 Mar 2021
Perceiver: General Perception with Iterative Attention Andrew Jaegle Felix Gimeno Andrew Brock Andrew Zisserman Oriol Vinyals João Carreira VLM ViT MDE 212 1,024 0 04 Mar 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 420 5,005 0 24 Feb 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 651 4,925 0 23 Jan 2020
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case Neo Wu Bradley Green X. Ben S. O’Banion AI4TS 76 458 0 23 Jan 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 149 1,412 0 28 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 506 20,376 0 23 Oct 2019
Know What You Don't Know: Unanswerable Questions for SQuAD Pranav Rajpurkar Robin Jia Percy Liang RALM ELM 292 2,854 0 11 Jun 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 253 5,079 0 02 Nov 2017