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Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration

Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration

22 February 2024
Ang Li
Jingqian Zhao
Bin Liang
Lin Gui
Hui Wang
Xi Zeng
Xingwei Liang
Kam-Fai Wong
Ruifeng Xu
ArXivPDFHTML

Papers citing "Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration"

3 / 3 papers shown
Title
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
Yuhang Zhou
Paiheng Xu
Xiaoyu Liu
Bang An
Wei Ai
Furong Huang
LRM
71
20
0
15 Nov 2023
The Impact of Debiasing on the Performance of Language Models in
  Downstream Tasks is Underestimated
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
18
5
0
16 Sep 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
1