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Herbie Bradley
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2020 – today
- 2024
- [c6]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: 958-973 - [c5]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 - [i10]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 abs/2401.13138 (2024) - [i9]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 abs/2406.04391 (2024) - 2023
- [c4]Alan Chan, Herbie Bradley, Nitarshan Rajkumar:
Reclaiming the Digital Commons: A Public Data Trust for Training Data. AIES 2023: 855-868 - [c3]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: 177-201 - [c2]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: 2397-2430 - [c1]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 - [i8]Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Arash Moradi, Amy K. Hoover, Joel Lehman:
Language Model Crossover: Variation through Few-Shot Prompting. CoRR abs/2302.12170 (2023) - [i7]Alan Chan, Herbie Bradley, Nitarshan Rajkumar:
Reclaiming the Digital Commons: A Public Data Trust for Training Data. CoRR abs/2303.09001 (2023) - [i6]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 abs/2304.01373 (2023) - [i5]Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy:
Challenges and Applications of Large Language Models. CoRR abs/2307.10169 (2023) - [i4]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 abs/2310.13032 (2023) - [i3]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 abs/2311.03736 (2023) - [i2]Alan Chan, Ben Bucknall, Herbie Bradley, David Krueger:
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models. CoRR abs/2312.14751 (2023) - 2022
- [i1]Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman:
EleutherAI: Going Beyond "Open Science" to "Science in the Open". CoRR abs/2210.06413 (2022)
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last updated on 2024-08-08 19:19 CEST by the dblp team
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