Jennifer Ding

According to our database, Jennifer Ding authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Towards Best Practices for Open Datasets for LLM Training.

Stefan Baack, Stella Biderman, Kasia Odrozek, Aviya Skowron, Ayah Bdeir, Jillian Bommarito, Jennifer Ding, Maximilian Gahntz, Paul Keller, Pierre-Carl Langlais, Greg Lindahl, Sebastian Majstorovic, Nik Marda, Guilherme Penedo, Maarten Van Segbroeck, Jennifer Wang, Leandro von Werra, Mitchell Baker, Julie Belião, Kasia Chmielinski, Marzieh Fadaee, Lisa Gutermuth, Hynek Kydlícek, Greg Leppert, EM Lewis-Jong, Solana Larsen, Shayne Longpre, Angela Oduor Lungati, Cullen Miller, Victor Miller, Max Ryabinin, Kathleen Siminyu, Andrew Strait, Mark Surman, Anna Tumadóttir, Maurice Weber, Rebecca Weiss, Lee White, Thomas Wolf

CoRR, January, 2025

2024

Correction to: The AI community building the future? A quantitative analysis of development activity on Hugging Face Hub.

Cailean Osborne, Jennifer Ding, Hannah Rose Kirk

J. Comput. Soc. Sci., October, 2024

The AI community building the future? A quantitative analysis of development activity on Hugging Face Hub.

Cailean Osborne, Jennifer Ding, Hannah Rose Kirk

J. Comput. Soc. Sci., October, 2024

My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset.

Jennifer Ding, Eva Jäger, Victoria Ivanova, Mercedes Bunz

CoRR, 2024

The Future of Open Human Feedback.

Shachar Don-Yehiya, Ben Burtenshaw, Ramón Fernandez Astudillo, Cailean Osborne, Mimansa Jaiswal, Tzu-Sheng Kuo, Wenting Zhao, Idan Shenfeld, Andi Peng, Mikhail Yurochkin, Atoosa Kasirzadeh, Yangsibo Huang, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen

CoRR, 2024

AllTheDocks Road Safety Dataset: A Cyclist's Perspective and Experience.

Chia-Yen Chiang, Ruikang Zhong, Jennifer Ding, Joseph Wood, Stephen Bee, Mona Jaber

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 2023

The BigCode Project Governance Card.

Sean Hughes, Harm de Vries, Jennifer Robinson, Carlos Muñoz Ferrandis, Loubna Ben Allal, Leandro von Werra, Jennifer Ding, Sébastien Paquet, Yacine Jernite

CoRR, 2023

Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives.

Jennifer Ding, Christopher Akiki, Yacine Jernite, Anne Lee Steele, Temi Popo

CoRR, 2023

2022

Tracking the Dynamics of the Tear Film Lipid Layer.

Tejasvi Kothapalli, Charlie Shou, Jennifer Ding, Jiayun Wang, Andrew D. Graham, Tatyana Svitova, Stella X. Yu, Meng C. Lin

CoRR, 2022