Improving Context-Aware Semantic Relationships in Sparse Mobile Datasets. - Peter Hansel; Nik Marda; William Yin (CoRR, 2018)

Did It Have To End This Way?: Understanding The Consistency of Team Fracture. - Mark E. Whiting; Allie Blaising; Chloe Barreau; Laura Fiuza; Nik Marda; Melissa A. Valentine; Michael S. Bernstein (Proc. ACM Hum. Comput. Interact., 2019)

Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence. - Adrien Basdevant; Camille François; Victor Storchan; Kevin Bankston; Ayah Bdeir; Brian Behlendorf; Mérouane Debbah; Sayash Kapoor; Yann LeCun; Mark Surman; Helen King-Turvey; Nathan Lambert 001; et al. (CoRR, 2024)

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; et al. (CoRR, 2025)

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI. - Shayne Longpre; Kevin Klyman; Ruth E. Appel; Sayash Kapoor; Rishi Bommasani; Michelle Sahar; Sean McGregor; Avijit Ghosh; Borhane Blili-Hamelin; Nathan Butters; Alondra Nelson; Amit Elazari; et al. (CoRR, 2025)

A Different Approach to AI Safety: Proceedings from the Columbia Convening on Openness in Artificial Intelligence and AI Safety. - Camille François; Ludovic Peran; Ayah Bdeir; Nouha Dziri; Will Hawkins; Yacine Jernite; Sayash Kapoor; Juliet Shen; Heidy Khlaaf; Kevin Klyman; Nik Marda; Marie Pellat; et al. (CoRR, 2025)