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Entailment Semantics Can Be Extracted from an Ideal Language Model
v1v2v3 (latest)

Entailment Semantics Can Be Extracted from an Ideal Language Model

26 September 2022
William Merrill
Alex Warstadt
Tal Linzen
ArXiv (abs)PDFHTML

Papers citing "Entailment Semantics Can Be Extracted from an Ideal Language Model"

5 / 5 papers shown
Title
TruthfulQA: Measuring How Models Mimic Human Falsehoods
TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie C. Lin
Jacob Hilton
Owain Evans
HILM
149
1,938
0
08 Sep 2021
Provable Limitations of Acquiring Meaning from Ungrounded Form: What
  Will Future Language Models Understand?
Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand?
William Merrill
Yoav Goldberg
Roy Schwartz
Noah A. Smith
82
69
0
22 Apr 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
859
42,379
0
28 May 2020
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
230
11,566
0
15 Feb 2018
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