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Prefer to Classify: Improving Text Classifiers via Auxiliary Preference
  Learning

Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning

8 June 2023
Jaehyung Kim
Jinwoo Shin
Dongyeop Kang
ArXivPDFHTML

Papers citing "Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning"

6 / 6 papers shown
Title
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
330
11,953
0
04 Mar 2022
Agreeing to Disagree: Annotating Offensive Language Datasets with
  Annotators' Disagreement
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement
Elisa Leonardelli
Stefano Menini
Alessio Palmero Aprosio
Marco Guerini
Sara Tonelli
52
97
0
28 Sep 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
230
77
0
30 Dec 2020
ANLIzing the Adversarial Natural Language Inference Dataset
ANLIzing the Adversarial Natural Language Inference Dataset
Adina Williams
Tristan Thrush
Douwe Kiela
AAML
174
46
0
24 Oct 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
286
1,595
0
18 Sep 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
297
6,959
0
20 Apr 2018
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