Identifying and Measuring Token-Level Sentiment Bias in Pre-trained
Language Models with Prompts

Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts

15 April 2022

Deval Srivastava

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Papers citing "Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts"

18 / 18 papers shown

Title
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 407 1,981 0 31 Dec 2020
Investigating African-American Vernacular English in Transformer-Based Text Generation Sophie Groenwold Li-hsueh Ou Aesha Parekh Samhita Honnavalli Sharon Levy Diba Mirza William Yang Wang 82 76 0 06 Oct 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models Nikita Nangia Clara Vania Rasika Bhalerao Samuel R. Bowman 131 690 0 30 Sep 2020
The Radicalization Risks of GPT-3 and Advanced Neural Language Models Kris McGuffie Alex Newhouse 65 151 0 15 Sep 2020
Investigating Gender Bias in BERT Rishabh Bhardwaj Navonil Majumder Soujanya Poria 80 108 0 10 Sep 2020
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? F. Iandola Albert Eaton Shaw Ravi Krishna Kurt Keutzer VLM 84 127 0 19 Jun 2020
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
Social Biases in NLP Models as Barriers for Persons with Disabilities Ben Hutchinson Vinodkumar Prabhakaran Emily L. Denton Kellie Webster Yu Zhong Stephen Denuyl 78 314 0 02 May 2020
StereoSet: Measuring stereotypical bias in pretrained language models Moin Nadeem Anna Bethke Siva Reddy 103 1,020 0 20 Apr 2020
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models Vered Shwartz Rachel Rudinger Oyvind Tafjord 51 50 0 06 Apr 2020
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation Po-Sen Huang Huan Zhang Ray Jiang Robert Stanforth Johannes Welbl Jack W. Rae Vishal Maini Dani Yogatama Pushmeet Kohli 98 217 0 08 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 518 20,376 0 23 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 703 24,572 0 26 Jul 2019
Gender Bias in Contextualized Word Embeddings Jieyu Zhao Tianlu Wang Mark Yatskar Ryan Cotterell Vicente Ordonez Kai-Wei Chang FaML 123 421 0 05 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,324 0 11 Oct 2018
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 116 3,159 0 21 Jul 2016
Yelp Dataset Challenge: Review Rating Prediction Nabiha Asghar 55 169 0 17 May 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering Ruining He Julian McAuley 156 2,069 0 04 Feb 2016

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