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HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in
  Natural Language Inference
v1v2 (latest)

HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference

International Conference on Language Resources and Evaluation (LREC), 2020
5 March 2020
Tianyu Liu
Xin Zheng
Baobao Chang
Zhifang Sui
ArXiv (abs)PDFHTML

Papers citing "HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference"

19 / 19 papers shown
Exploring Explanations Improves the Robustness of In-Context Learning
Exploring Explanations Improves the Robustness of In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Ukyo Honda
Tatsushi Oka
LRM
340
0
0
03 Jun 2025
Pushing the boundary on Natural Language Inference
Pushing the boundary on Natural Language Inference
Pablo Miralles-González
Javier Huertas-Tato
Alejandro Martín
David Camacho
LRM
644
1
0
25 Apr 2025
How Hard is this Test Set? NLI Characterization by Exploiting Training
  Dynamics
How Hard is this Test Set? NLI Characterization by Exploiting Training DynamicsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Adrian Cosma
Stefan Ruseti
Mihai Dascalu
Cornelia Caragea
219
4
0
04 Oct 2024
Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models
Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2024
Anna A. Ivanova
Aalok Sathe
Benjamin Lipkin
Unnathi Kumar
S. Radkani
...
Leshem Choshen
Roger Levy
Evelina Fedorenko
Josh Tenenbaum
Jacob Andreas
424
60
0
15 May 2024
Using Natural Language Explanations to Improve Robustness of In-context
  Learning
Using Natural Language Explanations to Improve Robustness of In-context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Xuanli He
Yuxiang Wu
Oana-Maria Camburu
Pasquale Minervini
Pontus Stenetorp
AAML
324
1
0
13 Nov 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path
Sociodemographic Bias in Language Models: A Survey and Forward Path
Vipul Gupta
Pranav Narayanan Venkit
Shomir Wilson
R. Passonneau
580
37
0
13 Jun 2023
Large Language Models are not Fair Evaluators
Large Language Models are not Fair EvaluatorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Peiyi Wang
Lei Li
Liang Chen
Zefan Cai
Dawei Zhu
Binghuai Lin
Yunbo Cao
Qi Liu
Tianyu Liu
Zhifang Sui
ALM
861
898
0
29 May 2023
SETI: Systematicity Evaluation of Textual Inference
SETI: Systematicity Evaluation of Textual InferenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Xiyan Fu
Anette Frank
LRM
234
6
0
24 May 2023
DialogVCS: Robust Natural Language Understanding in Dialogue System
  Upgrade
DialogVCS: Robust Natural Language Understanding in Dialogue System UpgradeNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Zefan Cai
Xin Zheng
Tianyu Liu
Xu Wang
H. Meng
Jiaqi Han
Gang Yuan
Binghuai Lin
Baobao Chang
Yunbo Cao
229
4
0
24 May 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Yongfeng Zhang
Jennifer Foster
Yue Zhang
OOD
352
3
0
23 May 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Yanchen Liu
Jing Yang
Yan Chen
Jing Liu
Huaqin Wu
MoE
266
2
0
28 Feb 2023
DISCO: Distilling Counterfactuals with Large Language Models
DISCO: Distilling Counterfactuals with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Zeming Chen
Qiyue Gao
Antoine Bosselut
Ashish Sabharwal
Kyle Richardson
357
53
0
20 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust
  Optimization
AGRO: Adversarial Discovery of Error-prone groups for Robust OptimizationInternational Conference on Learning Representations (ICLR), 2022
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
292
9
0
02 Dec 2022
When Does Group Invariant Learning Survive Spurious Correlations?
When Does Group Invariant Learning Survive Spurious Correlations?Neural Information Processing Systems (NeurIPS), 2022
Yimeng Chen
Ruibin Xiong
Zhiming Ma
Yanyan Lan
OODCML
352
28
0
29 Jun 2022
Generating Data to Mitigate Spurious Correlations in Natural Language
  Inference Datasets
Generating Data to Mitigate Spurious Correlations in Natural Language Inference DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
285
74
0
24 Mar 2022
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Ruibin Xiong
Yimeng Chen
Liang Pang
Xueqi Chen
Yanyan Lan
248
23
0
07 Nov 2021
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot
  Event Classification
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event ClassificationInternational Conference on Information and Knowledge Management (CIKM), 2021
Peiyi Wang
Runxin Xu
Tianyu Liu
Damai Dai
Baobao Chang
Zhifang Sui
196
16
0
29 Aug 2021
An Empirical Study on Model-agnostic Debiasing Strategies for Robust
  Natural Language Inference
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference
Tianyu Liu
Xin Zheng
Xiaoan Ding
Baobao Chang
Zhifang Sui
255
25
0
08 Oct 2020
Discriminatively-Tuned Generative Classifiers for Robust Natural
  Language Inference
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference
Xiaoan Ding
Tianyu Liu
Baobao Chang
Zhifang Sui
Kevin Gimpel
207
8
0
08 Oct 2020
1
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