Bradley, Herbie
University of Cambridge
10 papers on CoChatORCID 0000-0001-5390-1257
Most cited papers
- Verified
Challenges and Applications of Large Language Models
Kaddour, J., Harris, J., Mozes, M., Bradley, H., Raileanu, R., & McHardy, R. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 196
- Verified
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Biderman, S., Schoelkopf, H., Anthony, Q., Bradley, H., O'Brien, K., Hallahan, E., Khan, M. A., Purohit, S., Prashanth, U. S., Raff, E., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 160
- Verified
Visibility into AI Agents
Chan, A., Ezell, C., Kaufmann, M., Wei, K., Hammond, L., Bradley, H., Bluemke, E., Rajkumar, N., Krueger, D., Kolt, N., et al. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 84
- Verified
Language Model Crossover: Variation through Few-Shot Prompting
Meyerson, E., Nelson, M. J., Bradley, H., Gaier, A., Moradi, A., Hoover, A. K., & Lehman, J. (2024) · ACM Transactions on Evolutionary Learning and Optimization
Evolutionary Algorithms and ApplicationsTopic Modeling
Cited by 75
- Verified
Language model crossover: Variation through few-shot prompting
Meyerson, E., Nelson, M. J., Bradley, H., Gaier, A., Moradi, A., Hoover, A. K., & Lehman, J. (2023) · arXiv
Evolutionary Algorithms and ApplicationsTopic Modeling
Cited by 75
- Verified
The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms
Bradley, H., Fan, H., Galanos, T., Zhou, R., Scott, D., & Lehman, J. (2024) · Genetic and Evolutionary Computation
Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research
Cited by 19
- Verified
EleutherAI: Going Beyond "Open Science" to "Science in the Open"
Phang, J., Bradley, H., Gao, L., Castricato, L., & Biderman, S. (2022) · arXiv
Academic Publishing and Open AccessOpen Source Software Innovations
Cited by 3
- Verified
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
Schaeffer, R., Schoelkopf, H., Miranda, B., Mukobi, G., Madan, V., Ibrahim, A., Bradley, H., Biderman, S., & Koyejo, S. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
- Verified
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
Suárez, J., Isola, P., Choe, K. W., Bloomin, D., Li, H. X., Pinnaparaju, N., Kanna, N., Scott, D., Sullivan, R., Shuman, R. S., et al. (2023) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 1
- Verified
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
Suarez, J., Bloomin, D., Choe, K. W., Li, H. X., Sullivan, R., Kanna, N., Scott, D., Shuman, R., Bradley, H., Castricato, L., et al. (2023) · Advances in Neural Information Processing Systems 36
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 1
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