Mark Diaz

According to our database, Mark Diaz authored at least 29 papers between 2017 and 2024.

Collaborative distances:

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

2024

What Makes An Expert? Reviewing How ML Researchers Define "Expert".

Mark Díaz, Angela DR Smith

CoRR, 2024

Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups.

Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Zoe Ashwood, Aida Mostafazadeh Davani, Mark Diaz, Michela Paganini, Alicia Parrish, Ding Wang, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser

CoRR, 2024

Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation.

Andrew Smart, Ding Wang, Ellis Monk, Mark Díaz, Atoosa Kasirzadeh, Erin van Liemt, Sonja Schmer-Galunder

CoRR, 2024

GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives.

Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex S. Taylor, Mark Diaz, Ding Wang, Gregory Serapio-García

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

Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates.

Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

STAR: SocioTechnical Approach to Red Teaming Language Models.

Laura Weidinger, John Mellor, Bernat Guillen Pegueroles, Nahema Marchal, Ravin Kumar, Kristian Lum, Canfer Akbulut, Mark Diaz, A. Stevie Bergman, Mikel Rodriguez, Verena Rieser, William Isaac

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation.

Aida Mostafazadeh Davani, Mark Diaz, Dylan K. Baker, Vinodkumar Prabhakaran

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Illusion of Artificial Inclusion.

William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

PaLM: Scaling Language Modeling with Pathways.

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel

J. Mach. Learn. Res., 2023

SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata.

Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran

CoRR, 2023

A Framework to Assess (Dis)agreement Among Diverse Rater Groups.

Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang

CoRR, 2023

Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety.

Christopher M. Homan, Greg Serapio-García, Lora Aroyo, Mark Diaz, Alicia Parrish, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang

CoRR, 2023

PaLM 2 Technical Report.

Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.

CoRR, 2023

(Re)Defining Expertise in Machine Learning Development.

Mark Díaz, Angela D. R. Smith

CoRR, 2023

The Reasonable Effectiveness of Diverse Evaluation Data.

Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang

CoRR, 2023

DICES Dataset: Diversity in Conversational AI Evaluation for Safety.

Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations.

Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran

Trans. Assoc. Comput. Linguistics, 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, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Agüera y Arcas, Claire Cui, Marian Croak, Ed H. Chi, Quoc Le

CoRR, 2022

Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat.

Samantha Robertson, Mark Díaz

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation.

Mark Díaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Power to the People? Opportunities and Challenges for Participatory AI.

Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Diaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation.

Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen

CoRR, 2021

On Releasing Annotator-Level Labels and Information in Datasets.

Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Díaz

CoRR, 2021

2019

"The cavalry ain't coming in to save us": Supporting Capacities and Relationships through Civic Tech.

Jessa Dickinson, Mark Díaz, Christopher A. Le Dantec, Sheena Lewis Erete

Proc. ACM Hum. Comput. Interact., 2019

Whose Walkability?: Challenges in Algorithmically Measuring Subjective Experience.

Mark Diaz, Nicholas Diakopoulos

Proc. ACM Hum. Comput. Interact., 2019

Addressing Age-Related Bias in Sentiment Analysis.

Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, Darren Gergle

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Algorithmic Technologies and Underrepresented Populations.

Mark Diaz

Proceedings of the Companion Publication of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2019

2018

Inclusion of Underserved Residents in City Technology Planning.

Jessa Dickinson, Sheena Lewis Erete, Mark Diaz, Denise Linn Riedl

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Going Gray, Failure to Hire, and the Ick Factor: Analyzing How Older Bloggers Talk about Ageism.

Amanda Lazar, Mark Diaz, Robin Brewer, Chelsea Kim, Anne Marie Piper

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017