| OLMo: Accelerating the science of language models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... 🏆 Best Paper Award 🏆 ACL 2024, 2024 | 280* | 2024 |
| QuickUMLS: a fast, unsupervised approach for medical concept extraction L Soldaini, N Goharian Medical Information Retrieval (MedIR) Workshop at SIGIR 2016, 2016 | 276 | 2016 |
| Dolma: An open corpus of three trillion tokens for language model pretraining research L Soldaini, R Kinney, A Bhagia, D Schwenk, D Atkinson, R Authur, ... 🏆 Best Paper Award 🏆 ACL 2024., 2024 | 212* | 2024 |
| SMHD: a large-scale resource for exploring online language usage for multiple mental health conditions A Cohan, B Desmet, A Yates, L Soldaini, S MacAvaney, N Goharian arXiv preprint arXiv:1806.05258, 2018 | 194 | 2018 |
| The semantic scholar open data platform R Kinney, C Anastasiades, R Authur, I Beltagy, J Bragg, A Buraczynski, ... arXiv preprint arXiv:2301.10140, 2023 | 128* | 2023 |
| Don’t parse, generate! a sequence to sequence architecture for task-oriented semantic parsing S Rongali, L Soldaini, E Monti, W Hamza Proceedings of the web conference 2020, 2962-2968, 2020 | 118 | 2020 |
| Datacomp-LM: In search of the next generation of training sets for language models J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, S Gadre, H Bansal, E Guha, ... arXiv preprint arXiv:2406.11794, 2024 | 97* | 2024 |
| Molmo and PixMo: Open weights and open data for state-of-the-art multimodal models M Deitke, C Clark, S Lee, R Tripathi, Y Yang, JS Park, M Salehi, ... arXiv preprint arXiv:2409.17146, 2024 | 88* | 2024 |
| What's In My Big Data? Y Elazar, A Bhagia, I Magnusson, A Ravichander, D Schwenk, A Suhr, ... arXiv preprint arXiv:2310.20707, 2023 | 87 | 2023 |
| The cascade transformer: an application for efficient answer sentence selection L Soldaini, A Moschitti arXiv preprint arXiv:2005.02534, 2020 | 60 | 2020 |
| Enhancing web search in the medical domain via query clarification L Soldaini, A Yates, E Yom-Tov, O Frieder, N Goharian Information Retrieval Journal 19, 149-173, 2016 | 60 | 2016 |
| TÜLU 3: Pushing Frontiers in Open Language Model Post-Training N Lambert, J Morrison, V Pyatkin, S Huang, H Ivison, F Brahman, ... arXiv preprint arXiv:2411.15124, 2024 | 57* | 2024 |
| Rsdd-time: Temporal annotation of self-reported mental health diagnoses S MacAvaney, B Desmet, A Cohan, L Soldaini, A Yates, A Zirikly, ... arXiv preprint arXiv:1806.07916, 2018 | 50 | 2018 |
| Retrieving medical literature for clinical decision support L Soldaini, A Cohan, A Yates, N Goharian, O Frieder Advances in Information Retrieval: 37th European Conference on IR Research …, 2015 | 48 | 2015 |
| One-shot labeling for automatic relevance estimation S MacAvaney, L Soldaini Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 47 | 2023 |
| Teaching a new dog old tricks: Resurrecting multilingual retrieval using zero-shot learning S MacAvaney, L Soldaini, N Goharian Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 36 | 2020 |
| peS2o (Pretraining Efficiently on S2ORC) Dataset L Soldaini, K Lo Allen Institute for AI, Tech. Rep, 2023 | 35 | 2023 |
| OLMoE: Open mixture-of-experts language models N Muennighoff, L Soldaini, D Groeneveld, K Lo, J Morrison, S Min, W Shi, ... arXiv preprint arXiv:2409.02060, 2024 | 34* | 2024 |
| Scim: Intelligent skimming support for scientific papers R Fok, H Kambhamettu, L Soldaini, J Bragg, K Lo, M Hearst, A Head, ... Proceedings of the 28th International Conference on Intelligent User …, 2023 | 34 | 2023 |
| Learning to rank for consumer health search: a semantic approach L Soldaini, N Goharian Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 34 | 2017 |
Nazli GoharianGeorgetown UniversityZweryfikowany adres z ir.cs.georgetown.edu