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MetaAID 2.0: An Extensible Framework for Developing Metaverse
  Applications via Human-controllable Pre-trained Models

MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models

25 February 2023
Hongyin Zhu
ArXivPDFHTML

Papers citing "MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models"

5 / 5 papers shown
Title
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language,
  Vision, and Action
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Dhruv Shah
B. Osinski
Brian Ichter
Sergey Levine
LM&Ro
139
430
0
10 Jul 2022
Feature Refinement to Improve High Resolution Image Inpainting
Feature Refinement to Improve High Resolution Image Inpainting
Prakhar Kulshreshtha
Brian Pugh
Salma Jiddi
22
10
0
27 Jun 2022
CogVideo: Large-scale Pretraining for Text-to-Video Generation via
  Transformers
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Wenyi Hong
Ming Ding
Wendi Zheng
Xinghan Liu
Jie Tang
DiffM
235
556
0
29 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
11,730
0
04 Mar 2022
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1