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ANLIzing the Adversarial Natural Language Inference Dataset

ANLIzing the Adversarial Natural Language Inference Dataset

24 October 2020
Adina Williams
Tristan Thrush
Douwe Kiela
    AAML
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Papers citing "ANLIzing the Adversarial Natural Language Inference Dataset"

10 / 10 papers shown
Title
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Liaoyaqi Wang
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
52
0
0
02 May 2025
What does the Failure to Reason with "Respectively" in Zero/Few-Shot
  Settings Tell Us about Language Models?
What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models?
Ruixiang Cui
Seolhwa Lee
Daniel Hershcovich
Anders Søgaard
22
2
0
31 May 2023
Training Large Language Models Efficiently with Sparsity and Dataflow
Training Large Language Models Efficiently with Sparsity and Dataflow
V. Srinivasan
Darshan Gandhi
Urmish Thakker
R. Prabhakar
MoE
17
6
0
11 Apr 2023
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in
  Natural Language Inference
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
23
5
0
07 Nov 2022
IndoNLI: A Natural Language Inference Dataset for Indonesian
IndoNLI: A Natural Language Inference Dataset for Indonesian
Rahmad Mahendra
Alham Fikri Aji
Samuel Louvan
Fahrurrozi Rahman
Clara Vania
8
29
0
27 Oct 2021
Analyzing Dynamic Adversarial Training Data in the Limit
Analyzing Dynamic Adversarial Training Data in the Limit
Eric Wallace
Adina Williams
Robin Jia
Douwe Kiela
184
29
0
16 Oct 2021
UnNatural Language Inference
UnNatural Language Inference
Koustuv Sinha
Prasanna Parthasarathi
Joelle Pineau
Adina Williams
203
80
0
30 Dec 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
235
319
0
21 Aug 2019
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
187
574
0
02 May 2018
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
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