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Towards Robustifying NLI Models Against Lexical Dataset Biases

Towards Robustifying NLI Models Against Lexical Dataset Biases

10 May 2020
Xiang Zhou
Joey Tianyi Zhou
ArXivPDFHTML

Papers citing "Towards Robustifying NLI Models Against Lexical Dataset Biases"

14 / 14 papers shown
Title
Learning Shortcuts: On the Misleading Promise of NLU in Language Models
Learning Shortcuts: On the Misleading Promise of NLU in Language Models
Geetanjali Bihani
Julia Taylor Rayz
33
3
0
17 Jan 2024
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
47
2
0
28 Feb 2023
Multi-Scales Data Augmentation Approach In Natural Language Inference
  For Artifacts Mitigation And Pre-Trained Model Optimization
Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization
Zhenyu Lu
18
1
0
16 Dec 2022
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
33
5
0
07 Nov 2022
Enhancing Tabular Reasoning with Pattern Exploiting Training
Enhancing Tabular Reasoning with Pattern Exploiting Training
Abhilash Shankarampeta
Vivek Gupta
Shuo Zhang
LMTD
RALM
ReLM
62
6
0
21 Oct 2022
Shortcut Learning of Large Language Models in Natural Language
  Understanding
Shortcut Learning of Large Language Models in Natural Language Understanding
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Xia Hu
KELM
OffRL
31
84
0
25 Aug 2022
Generating Data to Mitigate Spurious Correlations in Natural Language
  Inference Datasets
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
26
67
0
24 Mar 2022
Unveiling Project-Specific Bias in Neural Code Models
Unveiling Project-Specific Bias in Neural Code Models
Zhiming Li
Yanzhou Li
Tianlin Li
Mengnan Du
Bozhi Wu
Yushi Cao
Yi Li
Yang Liu
31
5
0
19 Jan 2022
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
120
72
0
14 Oct 2021
Evaluating Gender Bias in Natural Language Inference
Evaluating Gender Bias in Natural Language Inference
Shanya Sharma
Manan Dey
Koustuv Sinha
20
41
0
12 May 2021
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model
  Performance
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance
Aarne Talman
Marianna Apidianaki
S. Chatzikyriakidis
Jörg Tiedemann
25
10
0
10 Apr 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU
  Models
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models
Mengnan Du
Varun Manjunatha
R. Jain
Ruchi Deshpande
Franck Dernoncourt
Jiuxiang Gu
Tong Sun
Xia Hu
54
105
0
11 Mar 2021
An Empirical Study on Robustness to Spurious Correlations using
  Pre-trained Language Models
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu
Garima Lalwani
Spandana Gella
He He
LRM
19
184
0
14 Jul 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
190
576
0
02 May 2018
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