| Creating training data for scientific named entity recognition with minimal human effort RB Tchoua, A Ajith, Z Hong, LT Ward, K Chard, A Belikov, DJ Audus, ... Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019 | 19 | 2019 |
| Active learning yields better training data for scientific named entity recognition R Tchoua, A Ajith, Z Hong, L Ward, K Chard, D Audus, S Patel, J de Pablo, ... 2019 15th International Conference on eScience (eScience), 126-135, 2019 | 17 | 2019 |
| Early diagnosis of primary immunodeficiency disease using clinical data and machine learning A Mayampurath, A Ajith, C Anderson-Smits, SC Chang, E Brouwer, ... The Journal of Allergy and Clinical Immunology: In Practice 10 (11), 3002 …, 2022 | 13 | 2022 |
| The diminishing returns of masked language models to science Z Hong, A Ajith, G Pauloski, E Duede, K Chard, I Foster arXiv preprint arXiv:2205.11342, 2022 | 13 | 2022 |
| Use of statins among patients taking levothyroxine: an observational drug utilization study across sites T Idrees, WH Prieto, S Casula, A Ajith, M Ettleson, FAA Narchi, PST Russo, ... Journal of the Endocrine Society 5 (7), bvab038, 2021 | 13 | 2021 |
| ScholarBERT: bigger is not always better Z Hong, A Ajith, G Pauloski, E Duede, C Malamud, R Magoulas, K Chard, ... arXiv preprint arXiv:2205.11342, 2022 | 11 | 2022 |
| Memory injections: Correcting multi-hop reasoning failures during inference in transformer-based language models M Sakarvadia, A Ajith, A Khan, D Grzenda, N Hudson, A Bauer, K Chard, ... arXiv preprint arXiv:2309.05605, 2023 | 10 | 2023 |
| Prediction of intracranial hypertension and brain tissue hypoxia utilizing high-resolution data from the BOOST-II clinical trial C Lazaridis, A Ajith, A Mansour, DO Okonkwo, R Diaz-Arrastia, ... Neurotrauma Reports 3 (1), 473-478, 2022 | 6 | 2022 |
| Multicenter development and validation of a model for predicting retention in care among people with HIV JP Ridgway, A Ajith, EE Friedman, MJ Mugavero, MM Kitahata, HM Crane, ... AIDS and Behavior 26 (10), 3279-3288, 2022 | 5 | 2022 |
| Towards hybrid human-machine scientific information extraction R Tchoua, A Ajith, Z Hong, L Ward, K Chard, D Audus, S Patel, J de Pablo, ... 2018 New York Scientific Data Summit (NYSDS), 1-3, 2018 | 5 | 2018 |
| Attention lens: A tool for mechanistically interpreting the attention head information retrieval mechanism M Sakarvadia, A Khan, A Ajith, D Grzenda, N Hudson, A Bauer, K Chard, ... arXiv preprint arXiv:2310.16270, 2023 | 3 | 2023 |
| Abnormal vital signs after laparoscopic colorectal surgery: more common than you think K Twohig, A Ajith, A Mayampurath, N Hyman, BD Shogan The American Journal of Surgery 221 (3), 654-658, 2021 | 2 | 2021 |
| MatPropXtractor: Generate to Extract A Ajith, M Schwarting, Z Hong, K Chard, I Foster ICLR Tiny Papers 2023, 2023 | | 2023 |
| ABNORMAL VITAL SIGNS ARE COMMON AFTER LAPAROSCOPIC OR OPEN BOWEL RESECTION AND ARE POOR PREDICTORS OF ANASTOMOTIC LEAK. K Twohig, A Mayampurath, A Ajith, M Jovanovic, N Hyman, BD Shogan DISEASES OF THE COLON & RECTUM 62 (6), E334-E334, 2019 | | 2019 |
Kyle ChardUniversity of Chicago and Argonne National LaboratoryVerified email at uchicago.edu
