| Time Travel in LLMs: Tracing Data Contamination in Large Language Models S Golchin, M Surdeanu The Twelfth International Conference on Learning Representations (ICLR 2024), 2023 | 49 | 2023 |
| Prediction of blast loading on protruded structures using machine learning methods M Zahedi, S Golchin International Journal of Protective Structures 15 (1), 122-140, 2024 | 11 | 2024 |
| Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline N Tavabi, J Pruneski, S Golchin, M Singh, R Sanborn, B Heyworth, ... Artificial Intelligence in Medicine 151, 102847, 2024 | 7 | 2024 |
| Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models S Golchin, M Surdeanu arXiv preprint arXiv:2311.06233, 2023 | 7 | 2023 |
| Automated Supervised Topic Modeling Framework for Hardware Weaknesses R Hassan, C Bandi, MT Tsai, S Golchin, SM PD, S Rafatirad, S Salehi 2023 24th International Symposium on Quality Electronic Design (ISQED), 1-8, 2023 | 5 | 2023 |
| Disparities in cannabis use and documentation in electronic health records among children and young adults N Tavabi, M Raza, M Singh, S Golchin, H Singh, GD Hogue, AM Kiapour NPJ digital medicine 6 (1), 138, 2023 | 4* | 2023 |
| Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords S Golchin, M Surdeanu, N Tavabi, A Kiapour ACL 2023 8th Workshop on Representation Learning for NLP (RepL4NLP 2023), 13-21, 2023 | 3 | 2023 |
| A Compact Pretraining Approach for Neural Language Models S Golchin, M Surdeanu, N Tavabi, A Kiapour arXiv preprint arXiv:2208.12367, 2022 | 2 | 2022 |
| Large Language Models As MOOCs Graders S Golchin, N Garuda, C Impey, M Wenger arXiv preprint arXiv:2402.03776, 2024 | 1 | 2024 |
| Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER S Suresh, N Tavabi, S Golchin, L Gilreath, R Garcia-Andujar, A Kim, ... ACL 2023 22nd Workshop on Biomedical Natural Language Processing and BioNLP …, 2023 | 1 | 2023 |
| Using Large Language Models for Automated Grading of Student Writing about Science C Impey, M Wenger, N Garuda, S Golchin, S Stamer | | 2024 |
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaVerified email at email.arizona.edu
