EleutherAI: Going Beyond "Open Science" to "Science in the Open". - Jason Phang; Herbie Bradley; Leo Gao; Louis Castricato; Stella Biderman (CoRR, 2022)

Reclaiming the Digital Commons: A Public Data Trust for Training Data. - Alan Chan; Herbie Bradley; Nitarshan Rajkumar (AIES, 2023)

The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms. - Herbie Bradley; Honglu Fan; Theodoros Galanos; Ryan Zhou; Daniel Scott; Joel Lehman (GPTP, 2023)

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. - Stella Biderman; Hailey Schoelkopf; Quentin Gregory Anthony; Herbie Bradley; Kyle O'Brien; Eric Hallahan; Mohammad Aflah Khan; Shivanshu Purohit; USVSN Sai Prashanth; Edward Raff; Aviya Skowron; Lintang Sutawika; et al. (ICML, 2023)

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. - Joseph Suarez; David Bloomin; Kyoung Whan Choe; Hao Xiang Li; Ryan Sullivan; Nishaanth Kanna; Daniel Scott; Rose S. Shuman; Herbie Bradley; Louis Castricato; Phillip Isola; Chenghui Yu; et al. (NeurIPS, 2023)

Challenges and Applications of Large Language Models. - Jean Kaddour; Joshua Harris; Maximilian Mozes; Herbie Bradley; Roberta Raileanu; Robert McHardy (CoRR, 2023)

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. - Joseph Suárez; Phillip Isola; Kyoung Whan Choe; David Bloomin; Hao Xiang Li; Nikhil Pinnaparaju; Nishaanth Kanna; Daniel Scott; Ryan Sullivan; Rose S. Shuman; Lucas de Alcântara; Herbie Bradley; et al. (CoRR, 2023)

Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models. - Alan Chan; Ben Bucknall; Herbie Bradley; David Krueger 001 (CoRR, 2023)

Visibility into AI Agents. - Alan Chan; Carson Ezell; Max Kaufmann; Kevin Wei; Lewis Hammond; Herbie Bradley; Emma Bluemke; Nitarshan Rajkumar; David Krueger 001; Noam Kolt; Lennart Heim; Markus Anderljung (FAccT, 2024)

Quality-Diversity through AI Feedback. - Herbie Bradley; Andrew Dai 001; Hannah Benita Teufel; Jenny Zhang; Koen Oostermeijer; Marco Bellagente; Jeff Clune; Kenneth O. Stanley; Grégory Schott; Joel Lehman (ICLR, 2024)

Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? - Rylan Schaeffer; Hailey Schoelkopf; Brando Miranda; Gabriel Mukobi; Varun Madan; Adam Ibrahim; Herbie Bradley; Stella Biderman; Sanmi Koyejo (CoRR, 2024)

Language Model Crossover: Variation through Few-Shot Prompting. - Elliot Meyerson; Mark J. Nelson; Herbie Bradley; Adam Gaier; Arash Moradi Karkaj; Amy K. Hoover; Joel Lehman (ACM Trans. Evol. Learn. Optim., 2024)