Herbie Bradley

19 papers A* 4C 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning. CoRR Joseph Suárez, Kyoung Whan Choe, David Bloomin, Jianming Gao, Yunkun Li, Yao Feng, Saidinesh Pola, Kun Zhang, Yonghui Zhu, Nikhil Pinnaparaju, Hao Xiang Li, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Kirsty You, Bo Wu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Louis Castricato, Xiaolong Zhu, Phillip Isola
2025	A*	`conf`	Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? ICML Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo
2024	J	`jnl`	Language Model Crossover: Variation through Few-Shot Prompting. ACM Trans. Evol. Learn. Optim. Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Adam Gaier, Arash Moradi Karkaj, Amy K. Hoover, Joel Lehman
2024	A*	`conf`	Quality-Diversity through AI Feedback. ICLR Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
2024	—	`conf`	Visibility into AI Agents. FAccT Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung
2024	J	`jnl`	Visibility into AI Agents. CoRR Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung
2024	J	`jnl`	Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? CoRR Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo
2023	J	`jnl`	Challenges and Applications of Large Language Models. CoRR Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy
2023	J	`jnl`	Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models. CoRR Alan Chan, Ben Bucknall, Herbie Bradley, David Krueger
2023	J	`jnl`	Language Model Crossover: Variation through Few-Shot Prompting. CoRR Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Adam Gaier, Arash Moradi Karkaj, Amy K. Hoover, Joel Lehman
2023	A*	`conf`	Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. NeurIPS 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
2023	J	`jnl`	Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. CoRR 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
2023	A*	`conf`	Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. ICML 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
2023	J	`jnl`	Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. CoRR 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
2023	J	`jnl`	Quality-Diversity through AI Feedback. CoRR Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
2023	C	`conf`	Reclaiming the Digital Commons: A Public Data Trust for Training Data. AIES Alan Chan, Herbie Bradley, Nitarshan Rajkumar
2023	J	`jnl`	Reclaiming the Digital Commons: A Public Data Trust for Training Data. CoRR Alan Chan, Herbie Bradley, Nitarshan Rajkumar
2023	—	`conf`	The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms. GPTP Herbie Bradley, Honglu Fan, Theodoros Galanos, Ryan Zhou, Daniel Scott, Joel Lehman
2022	J	`jnl`	EleutherAI: Going Beyond "Open Science" to "Science in the Open". CoRR Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman