Herbie Bradley

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Language Models For Information Retrieval

Top Venues

Publications

Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung
Visibility into AI Agents. FAccT (2024)
Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung
Visibility into AI Agents. CoRR (2024)
Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
Quality-Diversity through AI Feedback. ICLR (2024)
Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? CoRR (2024)
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
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. NeurIPS (2023)
Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy
Challenges and Applications of Large Language Models. CoRR (2023)
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
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. ICML (2023)
Herbie Bradley, Honglu Fan, Theodoros Galanos, Ryan Zhou, Daniel Scott, Joel Lehman
The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms. GPTP (2023)
Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Arash Moradi, Amy K. Hoover, Joel Lehman
Language Model Crossover: Variation through Few-Shot Prompting. CoRR (2023)
Alan Chan, Herbie Bradley, Nitarshan Rajkumar
Reclaiming the Digital Commons: A Public Data Trust for Training Data. AIES (2023)
Alan Chan, Ben Bucknall, Herbie Bradley, David Krueger
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models. CoRR (2023)
Alan Chan, Herbie Bradley, Nitarshan Rajkumar
Reclaiming the Digital Commons: A Public Data Trust for Training Data. CoRR (2023)
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
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. CoRR (2023)
Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
Quality-Diversity through AI Feedback. CoRR (2023)
Stella Biderman, Hailey Schoelkopf, Quentin 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
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. CoRR (2023)
Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman
EleutherAI: Going Beyond "Open Science" to "Science in the Open". CoRR (2022)