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How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the
  Winograd Schema Challenge and SWAG

How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG

5 November 2018
P. Trichelair
Ali Emami
Adam Trischler
Kaheer Suleman
Jackie C.K. Cheung
    LRM
ArXivPDFHTML

Papers citing "How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG"

9 / 9 papers shown
Title
Causal interventions expose implicit situation models for commonsense
  language understanding
Causal interventions expose implicit situation models for commonsense language understanding
Takateru Yamakoshi
James L. McClelland
A. Goldberg
Robert D. Hawkins
32
6
0
06 Jun 2023
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks
  from The New Yorker Caption Contest
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest
Jack Hessel
Ana Marasović
Jena D. Hwang
Lillian Lee
Jeff Da
Rowan Zellers
Robert Mankoff
Yejin Choi
VLM
33
85
0
13 Sep 2022
A Systematic Investigation of Commonsense Knowledge in Large Language
  Models
A Systematic Investigation of Commonsense Knowledge in Large Language Models
Xiang Lorraine Li
A. Kuncoro
Jordan Hoffmann
Cyprien de Masson dÁutume
Phil Blunsom
Aida Nematzadeh
LRM
25
58
0
31 Oct 2021
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement
  of Language Models
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models
T. Klein
Moin Nabi
ReLM
LRM
35
8
0
10 Sep 2021
Back to Square One: Artifact Detection, Training and Commonsense
  Disentanglement in the Winograd Schema
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema
Yanai Elazar
Hongming Zhang
Yoav Goldberg
Dan Roth
ReLM
LRM
45
44
0
16 Apr 2021
Contrastive Self-Supervised Learning for Commonsense Reasoning
Contrastive Self-Supervised Learning for Commonsense Reasoning
T. Klein
Moin Nabi
LRM
SSL
19
63
0
02 May 2020
Align, Mask and Select: A Simple Method for Incorporating Commonsense
  Knowledge into Language Representation Models
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models
Zhiquan Ye
Qian Chen
Wen Wang
Zhenhua Ling
27
68
0
19 Aug 2019
Recent Advances in Natural Language Inference: A Survey of Benchmarks,
  Resources, and Approaches
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
Shane Storks
Qiaozi Gao
J. Chai
21
128
0
02 Apr 2019
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
304
7,005
0
20 Apr 2018
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