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Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU
  Models

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models

11 March 2021
Mengnan Du
Varun Manjunatha
R. Jain
Ruchi Deshpande
Franck Dernoncourt
Jiuxiang Gu
Tong Sun
Xia Hu
ArXivPDFHTML

Papers citing "Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models"

19 / 19 papers shown
Title
Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification
Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification
Leon Eshuijs
Shihan Wang
Antske Fokkens
24
0
0
09 May 2025
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers
Lam Nguyen Tung
Steven Cho
Xiaoning Du
Neelofar Neelofar
Valerio Terragni
Stefano Ruberto
Aldeida Aleti
79
2
0
30 Oct 2024
InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
H. Li
Xiaogeng Liu
SILM
37
4
0
30 Oct 2024
Co-occurrence is not Factual Association in Language Models
Co-occurrence is not Factual Association in Language Models
Xiao Zhang
Miao Li
Ji Wu
KELM
59
2
0
21 Sep 2024
First Heuristic Then Rational: Dynamic Use of Heuristics in Language
  Model Reasoning
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning
Yoichi Aoki
Keito Kudo
Tatsuki Kuribayashi
Shusaku Sone
Masaya Taniguchi
Keisuke Sakaguchi
Kentaro Inui
LRM
19
1
0
23 Jun 2024
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
25
3
0
17 Jan 2024
Modality-Collaborative Transformer with Hybrid Feature Reconstruction
  for Robust Emotion Recognition
Modality-Collaborative Transformer with Hybrid Feature Reconstruction for Robust Emotion Recognition
Chengxin Chen
Pengyuan Zhang
26
5
0
26 Dec 2023
Accurate Use of Label Dependency in Multi-Label Text Classification
  Through the Lens of Causality
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
34
6
0
11 Oct 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
32
72
0
07 Jun 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
Y. Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
20
2
0
23 May 2023
A Comprehensive Survey of Sentence Representations: From the BERT Epoch
  to the ChatGPT Era and Beyond
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and Beyond
Abhinav Ramesh Kashyap
Thang-Tung Nguyen
Viktor Schlegel
Stefan Winkler
See-Kiong Ng
Soujanya Poria
AI4TS
3DV
SSL
29
6
0
22 May 2023
Debiasing Stance Detection Models with Counterfactual Reasoning and
  Adversarial Bias Learning
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning
Jianhua Yuan
Yanyan Zhao
Bing Qin
39
4
0
20 Dec 2022
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language Understanding
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Pengjie Ren
Yukun Zhao
Dawei Yin
Z. Ren
23
10
0
11 Dec 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging
  of NLP Models
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
Dong-Ho Lee
Akshen Kadakia
Brihi Joshi
Aaron Chan
Ziyi Liu
...
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
LRM
27
9
0
30 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
19
82
0
25 Aug 2022
Rectify ViT Shortcut Learning by Visual Saliency
Rectify ViT Shortcut Learning by Visual Saliency
Chong Ma
Lin Zhao
Yuzhong Chen
David Liu
Xi Jiang
Tuo Zhang
Xintao Hu
Dinggang Shen
Dajiang Zhu
Tianming Liu
ViT
20
20
0
17 Jun 2022
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Prasetya Ajie Utama
N. Moosavi
Victor Sanh
Iryna Gurevych
AAML
56
35
0
09 Sep 2021
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
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,233
0
24 Jun 2017
1