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Emergent World Representations: Exploring a Sequence Model Trained on a
  Synthetic Task

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

24 October 2022
Kenneth Li
Aspen K. Hopkins
David Bau
Fernanda Viégas
Hanspeter Pfister
Martin Wattenberg
    MILM
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Papers citing "Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task"

6 / 56 papers shown
Title
Towards Reliable Neural Specifications
Towards Reliable Neural Specifications
Chuqin Geng
Nham Le
Xiaojie Xu
Zhaoyue Wang
A. Gurfinkel
X. Si
AAML
36
10
0
28 Oct 2022
Formal Semantic Geometry over Transformer-based Variational AutoEncoder
Formal Semantic Geometry over Transformer-based Variational AutoEncoder
Yingji Zhang
Danilo S. Carvalho
Ian Pratt-Hartmann
André Freitas
26
4
0
12 Oct 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
173
779
0
27 May 2022
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
226
405
0
24 Feb 2021
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
Simpler Context-Dependent Logical Forms via Model Projections
Simpler Context-Dependent Logical Forms via Model Projections
R. Long
Panupong Pasupat
Percy Liang
210
101
0
16 Jun 2016
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