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Explore Spurious Correlations at the Concept Level in Language Models
  for Text Classification

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

15 November 2023
Yuhang Zhou
Paiheng Xu
Xiaoyu Liu
Bang An
Wei Ai
Furong Huang
    LRM
ArXivPDFHTML

Papers citing "Explore Spurious Correlations at the Concept Level in Language Models for Text Classification"

12 / 12 papers shown
Title
Large Language Models and Causal Inference in Collaboration: A Survey
Large Language Models and Causal Inference in Collaboration: A Survey
Xiaoyu Liu
Paiheng Xu
Junda Wu
Jiaxin Yuan
Yifan Yang
...
Haoliang Wang
Tong Yu
Julian McAuley
Wei Ai
Furong Huang
ELM
LRM
52
5
0
14 Mar 2024
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content
  Analysis
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis
Zongxia Li
Andrew Mao
Daniel Stephens
Pranav Goel
Emily Walpole
A. Dima
Juan Fung
Jordan L. Boyd-Graber
30
5
0
29 Jan 2024
Investigating Ensemble Methods for Model Robustness Improvement of Text
  Classifiers
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers
Jieyu Zhao
Xuezhi Wang
Yao Qin
Jilin Chen
Kai-Wei Chang
UQCV
32
2
0
28 Oct 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
298
8,441
0
04 Mar 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
99
52
0
14 Oct 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing
  Language Models
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
Robert Wolfe
Aylin Caliskan
57
42
0
01 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
265
882
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
233
1,649
0
31 Dec 2020
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
118
326
0
09 May 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
242
1,382
0
21 Jan 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
184
548
0
02 May 2018
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
223
863
0
21 Apr 2018
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