| What’s in a summary? laying the groundwork for advances in hospital-course summarization G Adams, E Alsentzer, M Ketenci, J Zucker, N Elhadad Proceedings of the conference. Association for Computational Linguistics …, 2021 | 51 | 2021 |
| Overview of the ImageCLEF 2022: Multimedia retrieval in medical, social media and nature applications B Ionescu, H Müller, R Péteri, J Rückert, AB Abacha, AGS de Herrera, ... International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 47 | 2022 |
| Overview of ImageCLEF 2023: Multimedia retrieval in medical, socialmedia and recommender systems applications B Ionescu, H Müller, A Drăgulinescu, W Yim, AB Abacha, N Snider, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction …, 2023 | 41 | 2023 |
| Overview of the mediqa-chat 2023 shared tasks on the summarization & generation of doctor-patient conversations AB Abacha, W Yim, G Adams, N Snider, M Yetisgen-Yildiz Proceedings of the 5th Clinical Natural Language Processing Workshop, 503-513, 2023 | 39 | 2023 |
| From sparse to dense: GPT-4 summarization with chain of density prompting G Adams, A Fabbri, F Ladhak, E Lehman, N Elhadad arXiv preprint arXiv:2309.04269, 2023 | 34 | 2023 |
| Learning to revise references for faithful summarization G Adams, HC Shing, Q Sun, C Winestock, K McKeown, N Elhadad arXiv preprint arXiv:2204.10290, 2022 | 26 | 2022 |
| Zero-shot clinical acronym expansion via latent meaning cells G Adams, M Ketenci, S Bhave, A Perotte, N Elhadad Machine Learning for Health, 12-40, 2020 | 21 | 2020 |
| A meta-evaluation of faithfulness metrics for long-form hospital-course summarization G Adams, J Zuckerg, N Elhadad Machine Learning for Healthcare Conference, 2-30, 2023 | 18 | 2023 |
| Investigating crowdsourcing protocols for evaluating the factual consistency of summaries X Tang, A Fabbri, H Li, Z Mao, GT Adams, B Wang, A Celikyilmaz, ... arXiv preprint arXiv:2109.09195, 2021 | 18 | 2021 |
| Machine learning for health (ML4H) 2020: Advancing healthcare for all SK Sarkar, S Roy, E Alsentzer, MBA McDermott, F Falck, I Bica, G Adams, ... Machine Learning for Health, 1-11, 2020 | 16 | 2020 |
| Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification of Doctor-Patient Conversations. W Yim, AB Abacha, G Adams, N Snider, M Yetisgen CLEF (Working Notes), 1347-1360, 2023 | 14 | 2023 |
| Generating EDU extracts for plan-guided summary re-ranking G Adams, AR Fabbri, F Ladhak, K McKeown, N Elhadad Proceedings of the conference. Association for Computational Linguistics …, 2023 | 7 | 2023 |
| What are the desired characteristics of calibration sets? identifying correlates on long form scientific summarization G Adams, BH Nguyen, J Smith, Y Xia, S Xie, A Ostropolets, B Deb, ... Proceedings of the conference. Association for Computational Linguistics …, 2023 | 5 | 2023 |
| ImageCLEF 2023 highlight: multimedia retrieval in medical, social media and content recommendation applications B Ionescu, H Müller, AM Drăgulinescu, A Popescu, A Idrissi-Yaghir, ... European Conference on Information Retrieval, 557-567, 2023 | 5 | 2023 |
| From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting. arXiv G Addams, A Fabbri, F Ladhak, E Lehman, N Elhadad | 5 | 2023 |
| Deep Learning Architecture For Analyzing Unstructured Data A Rich, G Amster, G Adams US Patent 20,210,027,894, 2021 | 5 | 2021 |
| Tifti: A framework for extracting drug intervals from longitudinal clinic notes M Agrawal, G Adams, N Nussbaum, B Birnbaum arXiv preprint arXiv:1811.12793, 2018 | 5 | 2018 |
| Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory G Adams, SJ Padmanabhan, S Shekhar arXiv preprint arXiv:2012.09136, 2020 | 4 | 2020 |
| Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024 B Ionescu, H Müller, AM Drăgulinescu, A Idrissi-Yaghir, A Radzhabov, ... European Conference on Information Retrieval, 44-52, 2024 | 3 | 2024 |
| SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval G Adams, J Zucker, N Elhadad arXiv preprint arXiv:2401.02369, 2024 | 2 | 2024 |
Noémie ElhadadAssociate Professor and Chair of Biomedical Informatics, Columbia UniversityVerified email at cumc.columbia.edu
