| Learning Performance-Improving Code Edits A Shypula, A Madaan, Y Zeng, U Alon, J Gardner, M Hashemi, G Neubig, ... ICLR 2024 (Spotlight), 2024 | 100 | 2024 |
| Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity W Guo, J Long, Y Zeng, Z Liu, X Yang, Y Ran, JR Gardner, O Bastani, ... ICLR 2025, 2024 | 4 | 2024 |
| Inverse Protein Folding Using Deep Bayesian Optimization N Maus, Y Zeng, DA Anderson, P Maffettone, A Solomon, P Greenside, ... arXiv preprint arXiv:2305.18089, 2023 | 4 | 2023 |
| Generative Adversarial Model-Based Optimization via Source Critic Regularization MS Yao, Y Zeng, H Bastani, JR Gardner, J Gee, O Bastani NeurIPS 2024, 2024 | 2* | 2024 |
| Antibody Design with Constrained Bayesian Optimization Y Zeng, H Elliott, P Maffettone, P Greenside, O Bastani, JR Gardner ICLR 2024 GEMBio Workshop (Oral), 2024 | 2* | 2024 |
| A generative artificial intelligence approach for antibiotic optimization MDT Torres, Y Zeng, F Wan, N Maus, J Gardner, C de la Fuente-Nunez bioRxiv, 2024.11. 27.625757, 2024 | 1 | 2024 |
| Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization N Maus, K Kim, Y Zeng, HT Jones, F Wan, MDT Torres, ... arXiv preprint arXiv:2501.19342, 2025 | | 2025 |
| Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting H Young, Y Zeng, J Gardner, O Bastani arXiv preprint arXiv:2408.06186, 2024 | | 2024 |
Jacob GardnerUniversity of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
