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Prismatic VLMs: Investigating the Design Space of Visually-Conditioned
  Language Models

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

12 February 2024
Siddharth Karamcheti
Suraj Nair
Ashwin Balakrishna
Percy Liang
Thomas Kollar
Dorsa Sadigh
    MLLM
    VLM
ArXivPDFHTML

Papers citing "Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models"

5 / 5 papers shown
Title
Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions
Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions
Cunxin Fan
Xiaosong Jia
Yihang Sun
Yixiao Wang
Jianglan Wei
...
Xiangyu Zhao
M. Tomizuka
Xue Yang
Junchi Yan
Mingyu Ding
LM&Ro
VLM
46
42
0
04 May 2025
mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality
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
198
575
0
27 Apr 2023
Decomposing NeRF for Editing via Feature Field Distillation
Decomposing NeRF for Editing via Feature Field Distillation
Sosuke Kobayashi
Eiichi Matsumoto
Vincent Sitzmann
152
256
0
31 May 2022
Training language models to follow instructions with human feedback
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
301
8,441
0
04 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
375
2,713
0
28 Jan 2022
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