Erin van Liemt

According to our database, Erin van Liemt authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

Amplify Initiative: Building A Localized Data Platform for Globalized AI.

Qazi Mamunur Rashid, Erin van Liemt, Tiffany Shih, Amber Ebinama, Karla Barrios Ramos, Madhurima Maji, Aishwarya Verma, Charu Kalia, Jamila Smith-Loud, Joyce Nakatumba-Nabende, Rehema Baguma, Andrew Katumba, Chodrine Mutebi, Jagen Marvin, Eric Peter Wairagala, Mugizi Bruce, Peter Oketta, Lawrence Nderu, Obichi Obiajunwa, Abigail Oppong, Michael Zimba, Data Authors

CoRR, April, 2025

Improving Neutral Point of View Text Generation through Parameter-Efficient Reinforcement Learning and a Small-Scale High-Quality Dataset.

Jessica Hoffmann, Christiane Ahlheim, Zac Yu, Aria Walfrand, Jarvis Jin, Marie Tano, Ahmad Beirami, Erin van Liemt, Nithum Thain, Hakim Sidahmed, Lucas Dixon

CoRR, March, 2025

Lost in Machine Translation: The Sociocultural Implications of Language Technologies in Nigeria.

Seyi Olojo, Janina Zakrzewski, Andrew Smart, Erin van Liemt, Milagros Miceli, Amber Ebinama, Lameck Mbangula Amugongo

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

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, Edem Wornyo, Sonja Schmer-Galunder, Jamila Smith-Loud

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

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation.

Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo

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

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics.

Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin MacMurray van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Ontology of Belief Diversity: A Community-Based Epistemological Approach.

Richard Zhang, Erin van Liemt, Tyler Fischella

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024