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Shortcut Learning of Large Language Models in Natural Language
  Understanding
v1v2 (latest)

Shortcut Learning of Large Language Models in Natural Language Understanding

Communications of the ACM (CACM), 2022
25 August 2022
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Helen Zhou
    KELMOffRL
ArXiv (abs)PDFHTML

Papers citing "Shortcut Learning of Large Language Models in Natural Language Understanding"

12 / 62 papers shown
Title
Controlling Learned Effects to Reduce Spurious Correlations in Text
  Classifiers
Controlling Learned Effects to Reduce Spurious Correlations in Text ClassifiersAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Parikshit Bansal
Amit Sharma
CML
205
6
0
26 May 2023
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Jingfeng Yang
Hongye Jin
Ruixiang Tang
Xiaotian Han
Qizhang Feng
Haoming Jiang
Bing Yin
Helen Zhou
LM&MA
405
875
0
26 Apr 2023
Language Model Behavior: A Comprehensive Survey
Language Model Behavior: A Comprehensive SurveyInternational Conference on Computational Logic (ICCL), 2023
Tyler A. Chang
Benjamin Bergen
VLMLRMLM&MA
304
135
0
20 Mar 2023
Testing AI on language comprehension tasks reveals insensitivity to
  underlying meaning
Testing AI on language comprehension tasks reveals insensitivity to underlying meaningScientific Reports (Sci Rep), 2023
Vittoria Dentella
Fritz Guenther
Elliot Murphy
G. Marcus
Evelina Leivada
ELM
322
50
0
23 Feb 2023
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Does Deep Learning Learn to Abstract? A Systematic Probing FrameworkInternational Conference on Learning Representations (ICLR), 2023
Shengnan An
Zeqi Lin
B. Chen
Qiang Fu
Nanning Zheng
Jian-Guang Lou
182
6
0
23 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
262
44
0
20 Dec 2022
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language UnderstandingAAAI Conference on Artificial Intelligence (AAAI), 2022
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Sudipta Singha Roy
Yukun Zhao
D. Yin
Zhaochun Ren
205
12
0
11 Dec 2022
Can Language Representation Models Think in Bets?
Can Language Representation Models Think in Bets?Royal Society Open Science (RSOS), 2022
Zhi–Bin Tang
Mayank Kejriwal
145
7
0
14 Oct 2022
Guess the Instruction! Flipped Learning Makes Language Models Stronger
  Zero-Shot Learners
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot LearnersInternational Conference on Learning Representations (ICLR), 2022
Seonghyeon Ye
Doyoung Kim
Joel Jang
Joongbo Shin
Minjoon Seo
FedMLVLMUQCVLRM
371
25
0
06 Oct 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine
  Reading Comprehension
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension
Xanh Ho
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
OffRL
186
6
0
05 Sep 2022
Rectify ViT Shortcut Learning by Visual Saliency
Rectify ViT Shortcut Learning by Visual SaliencyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Chong Ma
Lin Zhao
Yuzhong Chen
David Liu
Xi Jiang
Tuo Zhang
Xiaoyan Cai
Hongtu Zhu
Dajiang Zhu
Tianming Liu
ViT
175
25
0
17 Jun 2022
Robustness Challenges in Model Distillation and Pruning for Natural
  Language Understanding
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
Mengnan Du
Subhabrata Mukherjee
Yu Cheng
Milad Shokouhi
Helen Zhou
Ahmed Hassan Awadallah
202
18
0
16 Oct 2021
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