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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

8 October 2020
Tianyu Liu
Xin Zheng
Xiaoan Ding
Baobao Chang
Zhifang Sui
ArXivPDFHTML

Papers citing "An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference"

12 / 12 papers shown
Title
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
39
0
0
25 Apr 2025
DialogVCS: Robust Natural Language Understanding in Dialogue System
  Upgrade
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade
Zefan Cai
Xin Zheng
Tianyu Liu
Xu Wang
H. Meng
Jiaqi Han
Gang Yuan
Binghuai Lin
Baobao Chang
Yunbo Cao
14
4
0
24 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Ting Wu
Rui Zheng
Tao Gui
Qi Zhang
Xuanjing Huang
22
2
0
20 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
32
2
0
28 Feb 2023
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
19
67
0
24 Mar 2022
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 Classification
Peiyi Wang
Runxin Xu
Tianyu Liu
Damai Dai
Baobao Chang
Zhifang Sui
22
16
0
29 Aug 2021
RICA: Evaluating Robust Inference Capabilities Based on Commonsense
  Axioms
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
Pei Zhou
Rahul Khanna
Seyeon Lee
Bill Yuchen Lin
Daniel E. Ho
Jay Pujara
Xiang Ren
ReLM
11
36
0
02 May 2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in
  Natural Language Inference
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference
Tianyu Liu
Xin Zheng
Baobao Chang
Zhifang Sui
32
22
0
05 Mar 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
576
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
6,943
0
20 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
185
711
0
17 Apr 2018
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
196
1,363
0
06 Jun 2016
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