Bertie Vidgen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 48

Top Topics

Systematic Review

Top Venues

Publications

Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, Scott A. Hale
The benefits, risks and bounds of personalizing the alignment of large language models to individuals. Nat. Mac. Intell. 6 (4) (2024)
Paul Röttger, Fabio Pernisi, Bertie Vidgen, Dirk Hovy
SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety. CoRR (2024)
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
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources. CoRR (2024)
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 Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
Risks and Opportunities of Open-Source Generative AI. CoRR (2024)
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
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR (2024)
Paul Röttger, Hannah Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. NAACL-HLT (2024)
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 Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
Near to Mid-term Risks and Opportunities of Open Source Generative AI. CoRR (2024)
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
The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. CoRR (2024)
Olly Styles, Sam Miller, Patricio Cerda-Mardini, Tanaya Guha, Victor Sanchez, Bertie Vidgen
WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting. CoRR (2024)
Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, Scott A. Hale
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback. CoRR (2023)
Hannah Rose Kirk, Wenjie Yin, Bertie Vidgen, Paul Röttger
SemEval-2023 Task 10: Explainable Detection of Online Sexism. CoRR (2023)
Hannah Kirk, Andrew M. Bean, Bertie Vidgen, Paul Röttger, Scott A. Hale
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values. EMNLP (2023)
Pranab Islam, Anand Kannappan, Douwe Kiela, Rebecca Qian, Nino Scherrer, Bertie Vidgen
FinanceBench: A New Benchmark for Financial Question Answering. CoRR (2023)
Hannah Rose Kirk, Andrew M. Bean, Bertie Vidgen, Paul Röttger, Scott A. Hale
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values. CoRR (2023)
Hannah Kirk, Wenjie Yin, Bertie Vidgen, Paul Röttger
SemEval-2023 Task 10: Explainable Detection of Online Sexism. SemEval@ACL (2023)
Janosch Haber, Bertie Vidgen, Matthew Chapman, Vibhor Agarwal, Roy Ka-Wei Lee, Yong Keong Yap, Paul Röttger
Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore. ACL (1) (2023)
Bertie Vidgen, Hannah Rose Kirk, Rebecca Qian, Nino Scherrer, Anand Kannappan, Scott A. Hale, Paul Röttger
SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models. CoRR (2023)
Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, Scott A. Hale
The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models. CoRR (2023)
Paul Röttger, Hannah Rose Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. CoRR (2023)
Arkaitz Zubiaga, Bertie Vidgen, Miriam Fernández, Nishanth Sastry
Editorial for Special Issue on Detecting, Understanding and Countering Online Harms. Online Soc. Networks Media 27 (2022)
Hannah Kirk, Bertie Vidgen, Paul Röttger, Tristan Thrush, Scott A. Hale
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate. NAACL-HLT (2022)
Hannah Kirk, Abeba Birhane, Bertie Vidgen, Leon Derczynski
Handling and Presenting Harmful Text in NLP Research. EMNLP (Findings) (2022)
Paul Röttger, Bertie Vidgen, Dirk Hovy, Janet B. Pierrehumbert
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks. NAACL-HLT (2022)
Paul Röttger, Haitham Seelawi, Debora Nozza, Zeerak Talat, Bertie Vidgen
Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models. CoRR (2022)
Pica Johansson, Florence Enock, Scott A. Hale, Bertie Vidgen, Cassidy Bereskin, Helen Z. Margetts, Jonathan Bright
How can we combat online misinformation? A systematic overview of current interventions and their efficacy. CoRR (2022)
Leon Derczynski, Hannah Rose Kirk, Abeba Birhane, Bertie Vidgen
Handling and Presenting Harmful Text. CoRR (2022)
Zo Ahmed, Bertie Vidgen, Scott A. Hale
Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning. EPJ Data Sci. 11 (1) (2022)
Hannah Rose Kirk, Bertie Vidgen, Scott A. Hale
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning. CoRR (2022)
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
Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT (2021)
Ella Guest, Bertie Vidgen, Alexandros Mittos, Nishanth Sastry, Gareth Tyson, Helen Z. Margetts
An Expert Annotated Dataset for the Detection of Online Misogyny. EACL (2021)
Austin Botelho, Scott A. Hale, Bertie Vidgen
Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate. ACL/IJCNLP (Findings) (2021)
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
Dynabench: Rethinking Benchmarking in NLP. CoRR (2021)
Paul Röttger, Bertie Vidgen, Dong Nguyen, Zeerak Waseem, Helen Z. Margetts, Janet B. Pierrehumbert
HateCheck: Functional Tests for Hate Speech Detection Models. ACL/IJCNLP (1) (2021)
Austin Botelho, Bertie Vidgen, Scott A. Hale
Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate. CoRR (2021)
Zo Ahmed, Bertie Vidgen, Scott A. Hale
Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning. CoRR (2021)
Paul Röttger, Bertie Vidgen, Dirk Hovy, Janet B. Pierrehumbert
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks. CoRR (2021)
Bertie Vidgen, Dong Nguyen, Helen Z. Margetts, Patricia Rossini, Rebekah Tromble
Introducing CAD: the Contextual Abuse Dataset. NAACL-HLT (2021)
Laila Sprejer, Helen Z. Margetts, Kleber Oliveira, David O'Sullivan, Bertie Vidgen
An influencer-based approach to understanding radical right viral tweets. CoRR (2021)
Bertie Vidgen, Tristan Thrush, Zeerak Waseem, Douwe Kiela
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection. ACL/IJCNLP (1) (2021)
Bertie Vidgen, Leon Derczynski
Directions in Abusive Language Training Data: Garbage In, Garbage Out. CoRR (2020)
Bertie Vidgen, Austin Botelho, David A. Broniatowski, Ella Guest, Matthew Hall, Helen Z. Margetts, Rebekah Tromble, Zeerak Waseem, Scott A. Hale
Detecting East Asian Prejudice on Social Media. CoRR (2020)
Bertie Vidgen, Scott A. Hale, Ella Guest, Helen Z. Margetts, David A. Broniatowski, Zeerak Waseem, Austin Botelho, Matthew Hall, Rebekah Tromble
Detecting East Asian Prejudice on Social Media. WOAH (2020)
Vinodkumar Prabhakaran, Zeerak Waseem, Seyi Akiwowo, Bertie Vidgen
Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020. WOAH (2020)
Bertie Vidgen, Tristan Thrush, Zeerak Waseem, Douwe Kiela
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection. CoRR (2020)
Bertie Vidgen, Taha Yasseri
What, When and Where of petitions submitted to the UK Government during a time of chaos. CoRR (2019)
Bertie Vidgen, Taha Yasseri, Helen Z. Margetts
Trajectories of Islamophobic hate amongst far right actors on Twitter. CoRR (2019)
Bertie Vidgen, Taha Yasseri
Detecting weak and strong Islamophobic hate speech on social media. CoRR (2018)
Bertie Vidgen, Taha Yasseri
P-values: misunderstood and misused. CoRR (2016)