| Large Language Models Are Human-Level Prompt Engineers Y Zhou, AI Muresanu, Z Han, K Paster, S Pitis, H Chan, J Ba International Conference on Learning Representations (ICLR). 2023, 2022 | 631 | 2022 |
| Large language models are human-level prompt engineers. arXiv 2022 Y Zhou, AI Muresanu, Z Han, K Paster, S Pitis, H Chan, J Ba arXiv preprint arXiv:2211.01910, 0 | 8 | |
| Unlearnable algorithms for in-context learning A Muresanu, A Thudi, MR Zhang, N Papernot arXiv preprint arXiv:2402.00751, 2024 | 4 | 2024 |
| Steering Large Language Models using APE Y Zhou, AI Muresanu, Z Han, K Paster, S Pitis, H Chan, J Ba NeurIPS ML Safety Workshop 2022, 2022 | 4 | 2022 |
| Benchmarks for Physical Reasoning AI A Melnik, R Schiewer, M Lange, A Muresanu, M Saeidi, A Garg, H Ritter Transactions on Machine Learning Research (TMLR). 2023, 2023 | 1 | 2023 |
| Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation A Sarkar, AI Muresanu, C Blair, A Sharma, RS Trivedi, GK Hadfield arXiv preprint arXiv:2405.19328, 2024 | | 2024 |
Keiran PasterUniversity of Toronto, Vector InstituteVerified email at cs.toronto.edu
