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Mitigating Word Bias in Zero-shot Prompt-based Classifiers

Mitigating Word Bias in Zero-shot Prompt-based Classifiers

10 September 2023
Adian Liusie
Potsawee Manakul
Mark Gales
ArXiv (abs)PDFHTML

Papers citing "Mitigating Word Bias in Zero-shot Prompt-based Classifiers"

13 / 13 papers shown
Title
ASR Error Correction using Large Language Models
ASR Error Correction using Large Language Models
Rao Ma
Mengjie Qian
Mark Gales
Kate Knill
KELM
125
6
0
14 Sep 2024
Scaling Instruction-Finetuned Language Models
Scaling Instruction-Finetuned Language Models
Hyung Won Chung
Le Hou
Shayne Longpre
Barret Zoph
Yi Tay
...
Jacob Devlin
Adam Roberts
Denny Zhou
Quoc V. Le
Jason W. Wei
ReLMLRM
238
3,165
0
20 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
OSLMALM
900
13,228
0
04 Mar 2022
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALMUQCV
258
3,793
0
03 Sep 2021
Competency Problems: On Finding and Removing Artifacts in Language Data
Competency Problems: On Finding and Removing Artifacts in Language Data
Matt Gardner
William Merrill
Jesse Dodge
Matthew E. Peters
Alexis Ross
Sameer Singh
Noah A. Smith
235
111
0
17 Apr 2021
Surface Form Competition: Why the Highest Probability Answer Isn't
  Always Right
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right
Ari Holtzman
Peter West
Vered Schwartz
Yejin Choi
Luke Zettlemoyer
LRM
178
239
0
16 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
409
1,981
0
31 Dec 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
908
42,520
0
28 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
359
1,622
0
21 Jan 2020
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
156
1,413
0
28 Nov 2019
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
1.1K
7,201
0
20 Apr 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
528
4,497
0
18 Apr 2017
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
338
4,298
0
21 Aug 2015
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