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1907.04380
Cited By
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
9 July 2019
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
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Papers citing
"Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference"
50 / 66 papers shown
Title
FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking
Jabez Magomere
Elena Kochkina
Samuel Mensah
Simerjot Kaur
Charese Smiley
30
1
0
22 Apr 2025
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions
Gyeongje Cho
Yeonkyoung So
Jaejin Lee
ELM
62
0
0
26 Feb 2025
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
Ukyo Honda
Tatsushi Oka
Peinan Zhang
Masato Mita
52
1
0
17 Jun 2024
Explanation based Bias Decoupling Regularization for Natural Language Inference
Jianxiang Zang
Hui Liu
16
0
0
20 Apr 2024
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
Nishant Balepur
Abhilasha Ravichander
Rachel Rudinger
ELM
40
19
0
19 Feb 2024
A synthetic data approach for domain generalization of NLI models
Mohammad Javad Hosseini
Andrey Petrov
Alex Fabrikant
Annie Louis
SyDa
34
8
0
19 Feb 2024
On Measuring Faithfulness or Self-consistency of Natural Language Explanations
Letitia Parcalabescu
Anette Frank
LRM
74
22
0
13 Nov 2023
OYXOY: A Modern NLP Test Suite for Modern Greek
Konstantinos Kogkalidis
S. Chatzikyriakidis
Eirini Chrysovalantou Giannikouri
Vassiliki Katsouli
Christina Klironomou
...
Dimitris Papadakis
Thelka Pasparaki
Erofili Psaltaki
E. Sakellariou
Hara Soupiona
23
0
0
13 Sep 2023
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic
Zióu Zheng
Xiao-Dan Zhu
AAML
LRM
45
5
0
06 Jul 2023
Stubborn Lexical Bias in Data and Models
Sofia Serrano
Jesse Dodge
Noah A. Smith
37
2
0
03 Jun 2023
Adverbs, Surprisingly
Dmitry Nikolaev
Collin F. Baker
Miriam R. L. Petruck
Sebastian Padó
16
1
0
31 May 2023
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning
Jingyuan Selena She
Christopher Potts
Sam Bowman
Atticus Geiger
32
13
0
30 May 2023
Large Language Models are not Fair Evaluators
Peiyi Wang
Lei Li
Liang Chen
Zefan Cai
Dawei Zhu
Binghuai Lin
Yunbo Cao
Qi Liu
Tianyu Liu
Zhifang Sui
ALM
20
519
0
29 May 2023
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation
Joe Stacey
Marek Rei
29
2
0
22 May 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Yanchen Liu
Jing Yang
Yan Chen
Jing Liu
Huaqin Wu
MoE
47
2
0
28 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
SILM
AAML
33
20
0
14 Feb 2023
DISCO: Distilling Counterfactuals with Large Language Models
Zeming Chen
Qiyue Gao
Antoine Bosselut
Ashish Sabharwal
Kyle Richardson
37
25
0
20 Dec 2022
Feature-Level Debiased Natural Language Understanding
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Pengjie Ren
Yukun Zhao
Dawei Yin
Z. Ren
32
10
0
11 Dec 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
36
5
0
07 Nov 2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
Q. Si
Fandong Meng
Mingyu Zheng
Zheng Lin
Yuanxin Liu
Peng Fu
Yanan Cao
Weiping Wang
Jie Zhou
32
20
0
10 Oct 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
Q. Si
Yuanxin Liu
Fandong Meng
Zheng Lin
Peng Fu
Yanan Cao
Weiping Wang
Jie Zhou
37
23
0
10 Oct 2022
Text Characterization Toolkit
Daniel Simig
Tianlu Wang
Verna Dankers
Peter Henderson
Khuyagbaatar Batsuren
Dieuwke Hupkes
Mona T. Diab
26
0
0
04 Oct 2022
DataPerf: Benchmarks for Data-Centric AI Development
Mark Mazumder
Colby R. Banbury
Xiaozhe Yao
Bojan Karlavs
W. G. Rojas
...
Carole-Jean Wu
Cody Coleman
Andrew Y. Ng
Peter Mattson
Vijay Janapa Reddi
VLM
43
102
0
20 Jul 2022
An Understanding-Oriented Robust Machine Reading Comprehension Model
Feiliang Ren
Yongkang Liu
Bochao Li
Shilei Liu
Bingchao Wang
Jiaqi Wang
Chunchao Liu
Qi Ma
19
3
0
01 Jul 2022
Distilling Model Failures as Directions in Latent Space
Saachi Jain
Hannah Lawrence
Ankur Moitra
A. Madry
23
90
0
29 Jun 2022
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
Joe Stacey
Pasquale Minervini
Haim Dubossarsky
Marek Rei
ReLM
LRM
27
14
0
23 May 2022
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering
Shiquan Yang
Xinting Huang
Jey Han Lau
S. Erfani
17
5
0
20 May 2022
Towards Explanation for Unsupervised Graph-Level Representation Learning
Qinghua Zheng
Jihong Wang
Minnan Luo
Yaoliang Yu
Jundong Li
L. Yao
Xiao Chang
24
1
0
20 May 2022
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
17
20
0
28 Apr 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
37
67
0
24 Mar 2022
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers
Michael Stephen Saxon
Xinyi Wang
Wenda Xu
William Yang Wang
26
8
0
16 Dec 2021
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
Jasmijn Bastings
Sebastian Ebert
Polina Zablotskaia
Anders Sandholm
Katja Filippova
115
75
0
14 Nov 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Prajjwal Bhargava
Aleksandr Drozd
Anna Rogers
98
102
0
04 Oct 2021
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
Long Chen
Yuhang Zheng
Yulei Niu
Hanwang Zhang
Jun Xiao
AAML
OOD
21
36
0
03 Oct 2021
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
Shane Storks
Qiaozi Gao
Yichi Zhang
J. Chai
ReLM
LRM
47
22
0
10 Sep 2021
A Generative Approach for Mitigating Structural Biases in Natural Language Inference
Dimion Asael
Zachary M. Ziegler
Yonatan Belinkov
11
8
0
31 Aug 2021
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
Peiyi Wang
Runxin Xu
Tianyu Liu
Damai Dai
Baobao Chang
Zhifang Sui
27
16
0
29 Aug 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented Data
Nitish Joshi
He He
OODD
19
46
0
01 Jul 2021
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao
Shiyu Chang
Regina Barzilay
OOD
27
8
0
15 Jun 2021
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
Rabeeh Karimi Mahabadi
Yonatan Belinkov
James Henderson
DRL
21
71
0
10 Jun 2021
Check It Again: Progressive Visual Question Answering via Visual Entailment
Q. Si
Zheng Lin
Mingyu Zheng
Peng Fu
Weiping Wang
22
48
0
08 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Yujia Bao
Shiyu Chang
Regina Barzilay
21
20
0
26 May 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
30
45
0
16 Apr 2021
Dynabench: Rethinking Benchmarking in NLP
Douwe Kiela
Max Bartolo
Yixin Nie
Divyansh Kaushik
Atticus Geiger
...
Pontus Stenetorp
Robin Jia
Joey Tianyi Zhou
Christopher Potts
Adina Williams
24
390
0
07 Apr 2021
SILT: Efficient transformer training for inter-lingual inference
Javier Huertas-Tato
Alejandro Martín
David Camacho
27
11
0
17 Mar 2021
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
Sebastian Hofstatter
Aldo Lipani
Sophia Althammer
Markus Zlabinger
Allan Hanbury
55
15
0
18 Jan 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
230
77
0
30 Dec 2020
Learning from others' mistakes: Avoiding dataset biases without modeling them
Victor Sanh
Thomas Wolf
Yonatan Belinkov
Alexander M. Rush
17
115
0
02 Dec 2020
OCNLI: Original Chinese Natural Language Inference
Hai Hu
Kyle Richardson
Liang Xu
Lu Li
Sandra Kübler
L. Moss
33
118
0
12 Oct 2020
Improving QA Generalization by Concurrent Modeling of Multiple Biases
Mingzhu Wu
N. Moosavi
Andreas Rucklé
Iryna Gurevych
AI4CE
13
17
0
07 Oct 2020
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