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2109.02071
Cited By
End-to-End Self-Debiasing Framework for Robust NLU Training
5 September 2021
Abbas Ghaddar
Philippe Langlais
Mehdi Rezagholizadeh
Ahmad Rashid
UQCV
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Papers citing
"End-to-End Self-Debiasing Framework for Robust NLU Training"
23 / 23 papers shown
Adversarial Attacks Against Automated Fact-Checking: A Survey
Fanzhen Liu
A. Abuadbba
Kristen Moore
Surya Nepal
Cécile Paris
Jia Wu
Jian Yang
Quan Z. Sheng
AAML
155
4
0
10 Sep 2025
Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
Joe Stacey
Lisa Alazraki
Aran Ubhi
Beyza Ermis
Aaron Mueller
Marek Rei
461
0
0
26 May 2025
EqualizeIR: Mitigating Linguistic Biases in Retrieval Models
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
Jiali Cheng
Hadi Amiri
403
4
0
22 Mar 2025
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Son Quoc Tran
Matt Kretchmar
OOD
259
1
0
29 Sep 2024
LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs
Do Xuan Long
Hai Nguyen Ngoc
Tiviatis Sim
Hieu Dao
Shafiq Joty
Kenji Kawaguchi
Nancy F. Chen
Min-Yen Kan
546
25
0
16 Aug 2024
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
298
1
0
17 Jun 2024
Explanation based Bias Decoupling Regularization for Natural Language Inference
Jianxiang Zang
Hui Liu
230
1
0
20 Apr 2024
Self-Supervised Position Debiasing for Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Zhongkun Liu
Zheng Chen
Mengqi Zhang
Zhaochun Ren
Sudipta Singha Roy
Zhumin Chen
381
2
0
02 Jan 2024
Improving Bias Mitigation through Bias Experts in Natural Language Understanding
Eojin Jeon
Mingyu Lee
Juhyeong Park
Yeachan Kim
Wing-Lam Mok
SangKeun Lee
251
2
0
06 Dec 2023
A Simple yet Effective Self-Debiasing Framework for Transformer Models
Artificial Intelligence (AIJ), 2023
Xiaoyue Wang
Lijie Wang
Xin Liu
Suhang Wu
Jinsong Su
Huasen Wu
221
5
0
02 Jun 2023
Robust Natural Language Understanding with Residual Attention Debiasing
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Fei Wang
James Y. Huang
Tianyi Yan
Wenxuan Zhou
Muhao Chen
202
13
0
28 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Qin Liu
Fei Wang
Chaowei Xiao
Muhao Chen
AAML
335
32
0
24 May 2023
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade
North 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
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals
Ananth Balashankar
Xuezhi Wang
Yao Qin
Ben Packer
Nithum Thain
Jilin Chen
Ed H. Chi
Alex Beutel
276
1
0
22 May 2023
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Ali Modarressi
Hossein Amirkhani
Mohammad Taher Pilehvar
229
2
0
06 Feb 2023
Feature-Level Debiased Natural Language Understanding
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Sudipta Singha Roy
Yukun Zhao
D. Yin
Zhaochun Ren
286
12
0
11 Dec 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
Neural Information Processing Systems (NeurIPS), 2022
Yuanxin Liu
Fandong Meng
Zheng Lin
JiangNan Li
Peng Fu
Yanan Cao
Weiping Wang
Jie Zhou
263
7
0
11 Oct 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension
Xanh Ho
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
OffRL
293
7
0
05 Sep 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
285
74
0
24 Mar 2022
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
Md. Akmal Haidar
Nithin Anchuri
Mehdi Rezagholizadeh
Abbas Ghaddar
Philippe Langlais
Pascal Poupart
469
27
0
21 Sep 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding
Shivendra Bhardwaj
Abbas Ghaddar
Ahmad Rashid
Khalil Bibi
Cheng-huan Li
A. Ghodsi
Philippe Langlais
Mehdi Rezagholizadeh
194
2
0
21 Sep 2021
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding
Tianda Li
Ahmad Rashid
A. Jafari
Pranav Sharma
A. Ghodsi
Mehdi Rezagholizadeh
AAML
315
5
0
13 Sep 2021
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ahmad Rashid
Vasileios Lioutas
Abbas Ghaddar
Mehdi Rezagholizadeh
304
33
0
31 Dec 2020
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