Um, one large pizza. A preliminary study of disfluency modelling for improving ASR. - Ben Hutchinson; Cécile Pereira (DiSS, 2001)

A functional approach to speech recognition evaluation. - Ben Hutchinson (INTERSPEECH, 2001)

Acquiring the Meaning of Discourse Markers. - Ben Hutchinson (ACL, 2004)

Mining the Web for Discourse Markers. - Ben Hutchinson (LREC, 2004)

Modelling the Substitutability of Discourse Connectives. - Ben Hutchinson (ACL, 2005)

MDL-based Acquisition of Substitutability Relationships between Discourse Connectives. - Ben Hutchinson (IJCAI, 2005)

The automatic acquisition of knowledge about discourse connectives. - Ben Hutchinson (2005)

TAT: An Author Profiling Tool with Application to Arabic Emails. - Dominique Estival; Tanja Gaustad; Son Bao Pham; Will Radford; Ben Hutchinson (ALTA, 2007)

Using the Web for Language Independent Spellchecking and Autocorrection. - Casey Whitelaw; Ben Hutchinson; Grace Chung; Ged Ellis (EMNLP, 2009)

Perturbation Sensitivity Analysis to Detect Unintended Model Biases. - Vinodkumar Prabhakaran; Ben Hutchinson; Margaret Mitchell (EMNLP/IJCNLP (1), 2019)

50 Years of Test (Un)fairness: Lessons for Machine Learning. - Ben Hutchinson; Margaret Mitchell (FAT, 2019)

Model Cards for Model Reporting. - Margaret Mitchell; Simone Wu; Andrew Zaldivar; Parker Barnes; Lucy Vasserman; Ben Hutchinson; Elena Spitzer; Inioluwa Deborah Raji; Timnit Gebru (FAT, 2019)

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. - Sarah Bird; Ben Hutchinson; Krishnaram Kenthapadi; Emre Kiciman; Margaret Mitchell (WWW (Companion Volume), 2019)

Detecting Bias with Generative Counterfactual Face Attribute Augmentation. - Emily Denton; Ben Hutchinson; Margaret Mitchell; Timnit Gebru (CoRR, 2019)

Interpreting Social Respect: A Normative Lens for ML Models. - Ben Hutchinson; K. J. Pittl; Margaret Mitchell (CoRR, 2019)

Advances and Open Problems in Federated Learning. - Peter Kairouz; H. Brendan McMahan; Brendan Avent; Aurélien Bellet; Mehdi Bennis; Arjun Nitin Bhagoji; Kallista A. Bonawitz; Zachary Charles; Graham Cormode; Rachel Cummings; Rafael G. L. D'Oliveira; Salim El Rouayheb; et al. (CoRR, 2019)

Social Biases in NLP Models as Barriers for Persons with Disabilities. - Ben Hutchinson; Vinodkumar Prabhakaran; Emily Denton; Kellie Webster; Yu Zhong; Stephen Denuyl (ACL, 2020)

Diversity and Inclusion Metrics in Subset Selection. - Margaret Mitchell; Dylan K. Baker; Nyalleng Moorosi; Emily Denton; Ben Hutchinson; Alex Hanna; Timnit Gebru; Jamie Morgenstern (AIES, 2020)

Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning. - Andrew Smart; Larry James; Ben Hutchinson; Simone Wu; Shannon Vallor (AIES, 2020)

Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. - Inioluwa Deborah Raji; Andrew Smart; Rebecca N. White; Margaret Mitchell; Timnit Gebru; Ben Hutchinson; Jamila Smith-Loud; Daniel Theron; Parker Barnes (FAT*, 2020)

Non-portability of Algorithmic Fairness in India. - Nithya Sambasivan; Erin Arnesen; Ben Hutchinson; Vinodkumar Prabhakaran (CoRR, 2020)

Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives. - Angie Peng; Jeff Naecker; Ben Hutchinson; Andrew Smart; Nyalleng Moorosi (CoRR, 2020)

Unintended machine learning biases as social barriers for persons with disabilitiess. - Ben Hutchinson; Vinodkumar Prabhakaran; Emily Denton; Kellie Webster; Yu Zhong; Stephen Denuyl (ACM SIGACCESS Access. Comput., 2020)

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. - Ben Hutchinson; Andrew Smart; Alex Hanna; Emily Denton; Christina Greer; Oddur Kjartansson; Parker Barnes; Margaret Mitchell (FAccT, 2021)

Re-imagining Algorithmic Fairness in India and Beyond. - Nithya Sambasivan; Erin Arnesen; Ben Hutchinson; Tulsee Doshi; Vinodkumar Prabhakaran (FAccT, 2021)

Thinking Beyond Distributions in Testing Machine Learned Models. - Negar Rostamzadeh; Ben Hutchinson; Christina Greer; Vinodkumar Prabhakaran (CoRR, 2021)

Advances and Open Problems in Federated Learning. - Peter Kairouz; H. Brendan McMahan; Brendan Avent; Aurélien Bellet; Mehdi Bennis; Arjun Nitin Bhagoji; Kallista A. Bonawitz; Zachary Charles; Graham Cormode; Rachel Cummings; Rafael G. L. D'Oliveira; Hubert Eichner; et al. (Found. Trends Mach. Learn., 2021)

Evaluation Gaps in Machine Learning Practice. - Ben Hutchinson; Negar Rostamzadeh; Christina Greer; Katherine A. Heller; Vinodkumar Prabhakaran (FAccT, 2022)

Underspecification in Scene Description-to-Depiction Tasks. - Ben Hutchinson; Jason Baldridge; Vinodkumar Prabhakaran (AACL/IJCNLP (1), 2022)

LaMDA: Language Models for Dialog Applications. - Romal Thoppilan; Daniel De Freitas; Jamie Hall; Noam Shazeer; Apoorv Kulshreshtha; Heng-Tze Cheng; Alicia Jin; Taylor Bos; Leslie Baker; Yu Du; YaGuang Li; Hongrae Lee; et al. (CoRR, 2022)

Cultural Incongruencies in Artificial Intelligence. - Vinodkumar Prabhakaran; Rida Qadri; Ben Hutchinson (CoRR, 2022)

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. - Jiahui Yu; Yuanzhong Xu; Jing Yu Koh; Thang Luong; Gunjan Baid; Zirui Wang; Vijay Vasudevan; Alexander Ku; Yinfei Yang; Burcu Karagol Ayan; Ben Hutchinson; Wei Han; et al. (Trans. Mach. Learn. Res., 2022)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

"It's how you do things that matters": Attending to Process to Better Serve Indigenous Communities with Language Technologies. - Ned Cooper; Courtney Heldreth; Ben Hutchinson (EACL (2), 2024)

Modeling the Sacred: Considerations when Using Religious Texts in Natural Language Processing. - Ben Hutchinson (NAACL-HLT (Findings), 2024)

Modeling the Sacred: Considerations when Using Considerations when Using Religious Texts in Natural Language Processing. - Ben Hutchinson (CoRR, 2024)

Socially Responsible Data for Large Multilingual Language Models. - Andrew Smart; Ben Hutchinson; Lameck Mbangula Amugongo; Suzanne Dikker; Alex Zito; Amber Ebinama; Zara Wudiri; Ding Wang; Erin van Liemt; João Sedoc; Seyi Olojo; Stanley Uwakwe; et al. (CoRR, 2024)

Troubling Taxonomies in GenAI Evaluation. - Glen Berman; Ned Cooper; Wesley Hanwen Deng; Ben Hutchinson (CoRR, 2024)

Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation. - Ben Hutchinson; Celeste Rodríguez Louro; Glenys Collard; Ned Cooper (FAccT, 2025)