Bertie Vidgen

According to our database, Bertie Vidgen authored at least 42 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The benefits, risks and bounds of personalizing the alignment of large language models to individuals.

Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, Scott A. Hale

Nat. Mac. Intell., 2024

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources.

Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini

CoRR, 2024

Risks and Opportunities of Open-Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Aaron Purewal, Botos Csaba, Fabro Steibel, Fazel Keshtkar, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan Arturo Nolazco, Lori Landay, Matthew Thomas Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

CoRR, 2024

WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting.

Olly Styles, Sam Miller, Patricio Cerda-Mardini, Tanaya Guha, Victor Sanchez, Bertie Vidgen

CoRR, 2024

Near to Mid-term Risks and Opportunities of Open Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

CoRR, 2024

The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models.

Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew M. Bean, Katerina Margatina, Juan Ciro, Rafael Mosquera, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott A. Hale

CoRR, 2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren

CoRR, 2024

SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety.

Paul Röttger, Fabio Pernisi, Bertie Vidgen, Dirk Hovy

CoRR, 2024

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models.

Paul Röttger, Hannah Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI.

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

FinanceBench: A New Benchmark for Financial Question Answering.

Pranab Islam, Anand Kannappan, Douwe Kiela, Rebecca Qian, Nino Scherrer, Bertie Vidgen

CoRR, 2023

SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models.

Bertie Vidgen, Hannah Rose Kirk, Rebecca Qian, Nino Scherrer, Anand Kannappan, Scott A. Hale, Paul Röttger

CoRR, 2023

The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models.

Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, Scott A. Hale

CoRR, 2023

Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback.

Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, Scott A. Hale

CoRR, 2023

SemEval-2023 Task 10: Explainable Detection of Online Sexism.

Hannah Kirk, Wenjie Yin, Bertie Vidgen, Paul Röttger

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values.

Hannah Kirk, Andrew M. Bean, Bertie Vidgen, Paul Röttger, Scott Hale

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore.

Janosch Haber, Bertie Vidgen, Matthew Chapman, Vibhor Agarwal, Roy Ka-Wei Lee, Yong Keong Yap, Paul Röttger

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Editorial for Special Issue on Detecting, Understanding and Countering Online Harms.

Arkaitz Zubiaga, Bertie Vidgen, Miriam Fernández, Nishanth Sastry

Online Soc. Networks Media, 2022

Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning.

Zo Ahmed, Bertie Vidgen, Scott A. Hale

EPJ Data Sci., 2022

How can we combat online misinformation? A systematic overview of current interventions and their efficacy.

Pica Johansson, Florence Enock, Scott Hale, Bertie Vidgen, Cassidy Bereskin, Helen Z. Margetts, Jonathan Bright

CoRR, 2022

Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning.

Hannah Rose Kirk, Bertie Vidgen, Scott A. Hale

CoRR, 2022

Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models.

Paul Röttger, Haitham Seelawi, Debora Nozza, Zeerak Talat, Bertie Vidgen

CoRR, 2022

Handling and Presenting Harmful Text.

Leon Derczynski, Hannah Rose Kirk, Abeba Birhane, Bertie Vidgen

CoRR, 2022

Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks.

Paul Röttger, Bertie Vidgen, Dirk Hovy, Janet B. Pierrehumbert

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate.

Hannah Kirk, Bertie Vidgen, Paul Röttger, Tristan Thrush, Scott Hale

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Handling and Presenting Harmful Text in NLP Research.

Hannah Kirk, Abeba Birhane, Bertie Vidgen, Leon Derczynski

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

An influencer-based approach to understanding radical right viral tweets.

Laila Sprejer, Helen Z. Margetts, Kleber Oliveira, David O'Sullivan, Bertie Vidgen

CoRR, 2021

Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning.

Zo Ahmed, Bertie Vidgen, Scott A. Hale

CoRR, 2021

Introducing CAD: the Contextual Abuse Dataset.

Bertie Vidgen, Dong Nguyen, Helen Z. Margetts, Patrícia G. C. Rossini, Rebekah Tromble

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Dynabench: Rethinking Benchmarking in NLP.

Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

An Expert Annotated Dataset for the Detection of Online Misogyny.

Ella Guest, Bertie Vidgen, Alexandros Mittos, Nishanth Sastry, Gareth Tyson, Helen Z. Margetts

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection.

Bertie Vidgen, Tristan Thrush, Zeerak Waseem, Douwe Kiela

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

HateCheck: Functional Tests for Hate Speech Detection Models.

Paul Röttger, Bertie Vidgen, Dong Nguyen, Zeerak Waseem, Helen Z. Margetts, Janet B. Pierrehumbert

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate.

Austin Botelho, Scott Hale, Bertie Vidgen

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Directions in Abusive Language Training Data: Garbage In, Garbage Out.

Bertie Vidgen, Leon Derczynski

CoRR, 2020

Detecting East Asian Prejudice on Social Media.

Bertie Vidgen, Scott Hale, Ella Guest, Helen Z. Margetts, David A. Broniatowski, Zeerak Waseem, Austin Botelho, Matthew Hall, Rebekah Tromble

Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020.

Vinodkumar Prabhakaran, Zeerak Waseem, Seyi Akiwowo, Bertie Vidgen

Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

2019

Trajectories of Islamophobic hate amongst far right actors on Twitter.

Bertie Vidgen, Taha Yasseri, Helen Z. Margetts

CoRR, 2019

What, When and Where of petitions submitted to the UK Government during a time of chaos.

Bertie Vidgen, Taha Yasseri

CoRR, 2019

2018

Detecting weak and strong Islamophobic hate speech on social media.

Bertie Vidgen, Taha Yasseri

CoRR, 2018

2016

P-values: misunderstood and misused.

Bertie Vidgen, Taha Yasseri

CoRR, 2016