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Griffin Adams
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2020 – today
- 2024
- [c14]Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Ahmad Idrissi-Yaghir, Ahmedkhan Radzhabov, Alba Garcia Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Benjamin Lecouteux, Benno Stein, Cécile Macaire, Christoph M. Friedrich, Cynthia S. Schmidt, Didier Schwab, Emmanuelle Esperança-Rodier, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ioan Coman, Johanna Schöler, Johannes Kiesel, Johannes Rückert, Louise Bloch, Martin Potthast, Maximilian Heinrich, Meliha Yetisgen, Michael A. Riegler, Neal Snider, Pål Halvorsen, Raphael Brüngel, Steven Alexander Hicks, Vajira Thambawita, Vassili Kovalev, Yuri Prokopchuk, Wen-wai Yim:
Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. ECIR (6) 2024: 44-52 - [i14]Griffin Adams, Jason Zucker, Noémie Elhadad:
SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval. CoRR abs/2401.02369 (2024) - [i13]Griffin Adams:
Generating Faithful and Complete Hospital-Course Summaries from the Electronic Health Record. CoRR abs/2404.01189 (2024) - [i12]Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Adams, Lydia B. Chilton, Kathleen R. McKeown:
STORYSUMM: Evaluating Faithfulness in Story Summarization. CoRR abs/2407.06501 (2024) - [i11]Benjamin Clavié, Antoine Chaffin, Griffin Adams:
Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling. CoRR abs/2409.14683 (2024) - 2023
- [c13]Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Noémie Elhadad, Kathleen R. McKeown:
Generating EDU Extracts for Plan-Guided Summary Re-Ranking. ACL (1) 2023: 2680-2697 - [c12]Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad:
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. ACL (1) 2023: 10520-10542 - [c11]Asma Ben Abacha, Wen-wai Yim, Griffin Adams, Neal Snider, Meliha Yetisgen:
Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations. ClinicalNLP@ACL 2023: 503-513 - [c10]Bogdan Ionescu, Henning Müller, Ana-Maria Dragulinescu, Wen-wai Yim, Asma Ben Abacha, Neal Snider, Griffin Adams, Meliha Yetisgen, Johannes Rückert, Alba García Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Steven Alexander Hicks, Michael A. Riegler, Vajira Thambawita, Andrea M. Storås, Pål Halvorsen, Nikolaos Papachrysos, Johanna Schöler, Debesh Jha, Alexandra-Georgiana Andrei, Ioan Coman, Vassili Kovalev, Ahmedkhan Radzhabov, Yuri Prokopchuk, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Jérôme Deshayes, Adrian Popescu:
Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. CLEF 2023: 370-396 - [c9]Wen-wai Yim, Asma Ben Abacha, Griffin Adams, Neal Snider, Meliha Yetisgen:
Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification of Doctor-Patient Conversations. CLEF (Working Notes) 2023: 1347-1360 - [c8]Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Adrian Popescu, Ahmad Idrissi-Yaghir, Alba García Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Christoph M. Friedrich, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ihar Filipovich, Ioan Coman, Jérôme Deshayes, Johanna Schöler, Johannes Rückert, Liviu-Daniel Stefan, Louise Bloch, Meliha Yetisgen, Michael A. Riegler, Mihai Dogariu, Mihai Gabriel Constantin, Neal Snider, Nikolaos Papachrysos, Pål Halvorsen, Raphael Brüngel, Serge Kozlovski, Steven Hicks, Thomas de Lange, Vajira Thambawita, Vassili Kovalev, Wen-wai Yim:
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. ECIR (3) 2023: 557-567 - [c7]Griffin Adams, Jason Zuckerg, Noémie Elhadad:
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization. MLHC 2023: 2-30 - [i10]Griffin Adams, Jason Zucker, Noémie Elhadad:
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization. CoRR abs/2303.03948 (2023) - [i9]Griffin Adams, Bichlien H. Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad:
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. CoRR abs/2305.07615 (2023) - [i8]Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Kathleen R. McKeown, Noémie Elhadad:
Generating EDU Extracts for Plan-Guided Summary Re-Ranking. CoRR abs/2305.17779 (2023) - [i7]Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Eric Lehman, Noémie Elhadad:
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting. CoRR abs/2309.04269 (2023) - 2022
- [c6]Griffin Adams, Han-Chin Shing, Qing Sun, Christopher Winestock, Kathleen R. McKeown, Noémie Elhadad:
Learning to Revise References for Faithful Summarization. EMNLP (Findings) 2022: 4009-4027 - [c5]Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. NAACL-HLT 2022: 5680-5692 - [i6]Griffin Adams, Han-Chin Shing, Qing Sun, Christopher Winestock, Kathleen R. McKeown, Noémie Elhadad:
Learning to Revise References for Faithful Summarization. CoRR abs/2204.10290 (2022) - 2021
- [c4]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noemie Elhadad:
Exploring Automatic Summarization of the Hospital Course. AMIA 2021 - [c3]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad:
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. NAACL-HLT 2021: 4794-4811 - [i5]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad:
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. CoRR abs/2105.00816 (2021) - [i4]Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. CoRR abs/2109.09195 (2021) - 2020
- [c2]Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland:
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. ML4H@NeurIPS 2020: 1-11 - [c1]Griffin Adams, Mert Ketenci, Shreyas Bhave, Adler J. Perotte, Noémie Elhadad:
Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells. ML4H@NeurIPS 2020: 12-40 - [i3]Griffin Adams, Mert Ketenci, Adler J. Perotte, Noemie Elhadad:
Zero-Shot Clinical Acronym Expansion with a Hierarchical Metadata-Based Latent Variable Model. CoRR abs/2010.02010 (2020) - [i2]Griffin Adams, Sarguna Janani Padmanabhan, Shivang Shekhar:
Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory. CoRR abs/2012.09136 (2020)
2010 – 2019
- 2018
- [i1]Monica Agrawal, Griffin Adams, Nathan Nussbaum, Benjamin Birnbaum:
TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes. CoRR abs/1811.12793 (2018)
Coauthor Index
aka: Noemie Elhadad
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last updated on 2024-10-16 20:34 CEST by the dblp team
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