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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

7 November 2022
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
ArXivPDFHTML

Papers citing "Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference"

11 / 11 papers shown
Title
The Factorization Curse: Which Tokens You Predict Underlie the Reversal
  Curse and More
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More
O. Kitouni
Niklas Nolte
Diane Bouchacourt
Adina Williams
Mike Rabbat
Mark Ibrahim
LRM
CLL
28
12
0
07 Jun 2024
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained
  Large Models Fine-Tuning
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning
Shuoran Jiang
Qingcai Chen
Yang Xiang
Youcheng Pan
Xiangping Wu
AI4CE
6
0
0
24 Oct 2023
Robust Natural Language Understanding with Residual Attention Debiasing
Robust Natural Language Understanding with Residual Attention Debiasing
Fei Wang
James Y. Huang
Tianyi Yan
Wenxuan Zhou
Muhao Chen
14
7
0
28 May 2023
Are All Spurious Features in Natural Language Alike? An Analysis through
  a Causal Lens
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens
Nitish Joshi
X. Pan
Hengxing He
CML
37
28
0
25 Oct 2022
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Prajjwal Bhargava
Aleksandr Drozd
Anna Rogers
83
101
0
04 Oct 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Prasetya Ajie Utama
N. Moosavi
Victor Sanh
Iryna Gurevych
AAML
48
35
0
09 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More
  Accessible
Debiasing Methods in Natural Language Understanding Make Bias More Accessible
Michael J. Mendelson
Yonatan Belinkov
36
23
0
09 Sep 2021
Competency Problems: On Finding and Removing Artifacts in Language Data
Competency Problems: On Finding and Removing Artifacts in Language Data
Matt Gardner
William Merrill
Jesse Dodge
Matthew E. Peters
Alexis Ross
Sameer Singh
Noah A. Smith
143
106
0
17 Apr 2021
ANLIzing the Adversarial Natural Language Inference Dataset
ANLIzing the Adversarial Natural Language Inference Dataset
Adina Williams
Tristan Thrush
Douwe Kiela
AAML
140
45
0
24 Oct 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
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
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