| The Remarkable Robustness of LLMs: Stages of Inference? V Lad, W Gurnee, M Tegmark arXiv preprint arXiv:2406.19384, 2024 | 25* | 2024 |
| Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code EJ Michaud*, I Liao*, V Lad*, Z Liu*, A Mudide, C Loughridge, ZC Guo, ... Entropy 26 (12), 1046, 2024 | 12* | 2024 |
| Physion++: Evaluating physical scene understanding that requires online inference of different physical properties HY Tung, M Ding, Z Chen, D Bear, C Gan, J Tenenbaum, D Yamins, J Fan, ... Advances in Neural Information Processing Systems 36, 67048-67068, 2023 | 7 | 2023 |
| Estimating label quality and errors in semantic segmentation data via any model V Lad, J Mueller arXiv preprint arXiv:2307.05080, 2023 | 4 | 2023 |
| Exploring the integration of AI into Physics Education: Leveraging ChatGPT for Problem Generation V Lad, I Liao, M Abdelhafez, P Dourmashkin, S El-Adawy APS April Meeting Abstracts 2024, N00. 061, 2024 | | 2024 |
| Mechanistic Interpretability for Progress Towards Quantitative AI Safety VK Lad Massachusetts Institute of Technology, 2024 | | 2024 |
| CleaNLP: Detecting Label Errors in General NLP Tasks V Lad, A Wang, R Wilson | | |
Max TegmarkProfessor of Physics, MITBestätigte E-Mail-Adresse bei mit.edu