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Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona
  Biases in Dialogue Systems

Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems

8 October 2023
Yixin Wan
Jieyu Zhao
Aman Chadha
Nanyun Peng
Kai-Wei Chang
ArXivPDFHTML

Papers citing "Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems"

13 / 13 papers shown
Title
UPCS: Unbiased Persona Construction for Dialogue Generation
UPCS: Unbiased Persona Construction for Dialogue Generation
Kuiyun Chen
Yanbin Wei
40
0
0
03 Jan 2025
LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
Iain Xie Weissburg
Sathvika Anand
Sharon Levy
Haewon Jeong
43
1
0
17 Oct 2024
Exploring Safety-Utility Trade-Offs in Personalized Language Models
Exploring Safety-Utility Trade-Offs in Personalized Language Models
Anvesh Rao Vijjini
Somnath Basu Roy Chowdhury
Snigdha Chaturvedi
33
6
0
17 Jun 2024
"I'm sorry to hear that": Finding New Biases in Language Models with a
  Holistic Descriptor Dataset
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
Eric Michael Smith
Melissa Hall
Melanie Kambadur
Eleonora Presani
Adina Williams
65
128
0
18 May 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
301
11,730
0
04 Mar 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Matthew Cer
VLM
LRM
134
276
0
15 Oct 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
780
0
14 Oct 2021
HypoGen: Hyperbole Generation with Commonsense and Counterfactual
  Knowledge
HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge
Yufei Tian
A. Sridhar
Nanyun Peng
14
27
0
10 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Generating Syntactically Controlled Paraphrases without Using Annotated
  Parallel Pairs
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
Kuan-Hao Huang
Kai-Wei Chang
137
68
0
26 Jan 2021
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
204
607
0
03 Sep 2019
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
178
708
0
17 Apr 2018
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
192
1,325
0
05 Jun 2016
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