Herbie Bradley

According to our database, Herbie Bradley authored at least 13 papers between 2022 and 2024.

Collaborative distances:

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

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., December, 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

Quality-Diversity through AI Feedback.

Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Visibility into AI Agents.

Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung

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

2023

Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models.

Alan Chan, Ben Bucknall, Herbie Bradley, David Krueger

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, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

CoRR, 2023

Challenges and Applications of Large Language Models.

Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy

CoRR, 2023

Language Model Crossover: Variation through Few-Shot Prompting.

Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Arash Moradi, Amy K. Hoover, Joel Lehman

CoRR, 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, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Oskar van der Wal

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

Reclaiming the Digital Commons: A Public Data Trust for Training Data.

Alan Chan, Herbie Bradley, Nitarshan Rajkumar

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

EleutherAI: Going Beyond "Open Science" to "Science in the Open".

Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman

CoRR, 2022