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Non-entailed subsequences as a challenge for natural language inference
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Non-entailed subsequences as a challenge for natural language inference

R. Thomas McCoy
Tal Linzen
ArXiv (abs)PDFHTML

Papers citing "Non-entailed subsequences as a challenge for natural language inference"

6 / 6 papers shown
Title
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning
Jingyuan Selena She
Christopher Potts
Sam Bowman
Atticus Geiger
94
15
0
30 May 2023
ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics
ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics
Chantal Amrhein
Nikita Moghe
Liane Guillou
ELM
106
23
0
27 Oct 2022
SesameBERT: Attention for Anywhere
SesameBERT: Attention for Anywhere
Ta-Chun Su
Hsiang-Chih Cheng
58
7
0
08 Oct 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Jinpeng Wang
Yada Pruksachatkun
Nikita Nangia
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
420
2,328
0
02 May 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
159
1,244
0
04 Feb 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
1.2K
7,211
0
20 Apr 2018