Quantifying and alleviating political bias in language models-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Quantifying and alleviating political bias in language models

Published:2022-03 Issue: Volume:304 Page:103654
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Liu Ruibo^ORCID,Jia Chenyan,Wei Jason,Xu Guangxuan,Vosoughi Soroush

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference99 articles.

1. DIALOGPT: large-scale generative pre-training for conversational response generation;Zhang,2020

2. Few-shot natural language generation for task-oriented dialog;Peng,2020

3. Towards making the most of bert in neural machine translation;Yang,2020

4. Incorporating BERT into neural machine translation;Zhu,2020

5. Language models are unsupervised multitask learners;Radford;OpenAI Blog,2019

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance and biases of Large Language Models in public opinion simulation;Humanities and Social Sciences Communications;2024-08-28

2. The political preferences of LLMs;PLOS ONE;2024-07-31

3. Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation;Artificial Intelligence;2024-07

4. How Artificial Intelligence Can Influence Elections: Analyzing the Large Language Models (LLMs) Political Bias;Proceedings of the International Conference on Business Excellence;2024-06-01

5. Regional Bias in Monolingual English Language Models;2024-01-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP