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2020 – today
- 2024
[c14]William Agnew
, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee:
The Illusion of Artificial Inclusion. CHI 2024: 286:1-286:12- [c13]Aida Mostafazadeh Davani, Mark Diaz, Dylan K. Baker, Vinodkumar Prabhakaran:
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation. EMNLP 2024: 18511-18526 - [c12]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:
STAR: SocioTechnical Approach to Red Teaming Language Models. EMNLP 2024: 21516-21532 - [c11]Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran:
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. FAccT 2024: 2007-2021 - [c10]Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex S. Taylor, Mark Diaz, Ding Wang, Gregory Serapio-García:
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives. NAACL-HLT 2024: 3473-3492 - [i19]William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee:
The illusion of artificial inclusion. CoRR abs/2401.08572 (2024) - [i18]Andrew Smart, Ding Wang, Ellis Monk, Mark Díaz, Atoosa Kasirzadeh, Erin van Liemt, Sonja Schmer-Galunder:
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation. CoRR abs/2402.06811 (2024) - [i17]Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran:
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation. CoRR abs/2404.10857 (2024) - [i16]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:
STAR: SocioTechnical Approach to Red Teaming Language Models. CoRR abs/2406.11757 (2024) - 2023
- [j4]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:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023) - [c9]Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang:
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. NeurIPS 2023 - [i15]Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang:
The Reasonable Effectiveness of Diverse Evaluation Data. CoRR abs/2301.09406 (2023) - [i14]Mark Díaz, Angela D. R. Smith:
(Re)Defining Expertise in Machine Learning Development. CoRR abs/2302.04337 (2023) - [i13]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.:
PaLM 2 Technical Report. CoRR abs/2305.10403 (2023) - [i12]Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang:
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. CoRR abs/2306.11247 (2023) - [i11]Christopher M. Homan, Greg Serapio-García, Lora Aroyo, Mark Diaz, Alicia Parrish, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang:
Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety. CoRR abs/2306.11530 (2023) - [i10]Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang:
A Framework to Assess (Dis)agreement Among Diverse Rater Groups. CoRR abs/2311.05074 (2023) - [i9]Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran:
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. CoRR abs/2311.17259 (2023) - [i8]Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran:
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. CoRR abs/2312.06861 (2023) - 2022
- [j3]Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran:
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations. Trans. Assoc. Comput. Linguistics 10: 92-110 (2022) - [c8]Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Diaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed:
Power to the People? Opportunities and Challenges for Participatory AI. EAAMO 2022: 6:1-6:8 - [c7]Samantha Robertson, Mark Díaz:
Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat. FAccT 2022: 2223-2238 - [c6]Mark Díaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton:
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. FAccT 2022: 2342-2351 - [i7]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:
LaMDA: Language Models for Dialog Applications. CoRR abs/2201.08239 (2022) - [i6]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:
PaLM: Scaling Language Modeling with Pathways. CoRR abs/2204.02311 (2022) - [i5]Mark Diaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton:
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. CoRR abs/2206.08931 (2022) - [i4]Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Díaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed:
Power to the People? Opportunities and Challenges for Participatory AI. CoRR abs/2209.07572 (2022) - 2021
- [i3]Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Díaz:
On Releasing Annotator-Level Labels and Information in Datasets. CoRR abs/2110.05699 (2021) - [i2]Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran:
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations. CoRR abs/2110.05719 (2021) - [i1]Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen:
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation. CoRR abs/2112.04554 (2021)
2010 – 2019
- 2019
- [j2]Jessa Dickinson, Mark Díaz, Christopher A. Le Dantec, Sheena Lewis Erete:
"The cavalry ain't coming in to save us": Supporting Capacities and Relationships through Civic Tech. Proc. ACM Hum. Comput. Interact. 3(CSCW): 123:1-123:21 (2019) - [j1]Mark Diaz, Nicholas Diakopoulos:
Whose Walkability?: Challenges in Algorithmically Measuring Subjective Experience. Proc. ACM Hum. Comput. Interact. 3(CSCW): 126:1-126:22 (2019) - [c5]Mark Diaz:
Algorithmic Technologies and Underrepresented Populations. CSCW Companion 2019: 47-51 - [c4]Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, Darren Gergle:
Addressing Age-Related Bias in Sentiment Analysis. IJCAI 2019: 6146-6150 - 2018
- [c3]Mark Diaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, Darren Gergle:
Addressing Age-Related Bias in Sentiment Analysis. CHI 2018: 412 - [c2]Jessa Dickinson, Sheena Lewis Erete, Mark Diaz, Denise Linn Riedl:
Inclusion of Underserved Residents in City Technology Planning. CHI Extended Abstracts 2018 - 2017
- [c1]Amanda Lazar, Mark Diaz, Robin Brewer, Chelsea Kim, Anne Marie Piper:
Going Gray, Failure to Hire, and the Ick Factor: Analyzing How Older Bloggers Talk about Ageism. CSCW 2017: 655-668
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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