Griffin Adams

According to our database, Griffin Adams authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Benjamin Warner, Antoine Chaffin, Benjamin Clavié, Orion Weller, Oskar Hallström, Said Taghadouini, Alexis Gallagher, Raja Biswas, Faisal Ladhak, Tom Aarsen, Nathan Cooper, Griffin Adams, Jeremy Howard, Iacopo Poli

CoRR, 2024

Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling.

Benjamin Clavié, Antoine Chaffin, Griffin Adams

CoRR, 2024

Generating Faithful and Complete Hospital-Course Summaries from the Electronic Health Record.

Griffin Adams

CoRR, 2024

SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval.

Griffin Adams, Jason Zucker, Noémie Elhadad

CoRR, 2024

STORYSUMM: Evaluating Faithfulness in Story Summarization.

Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Adams, Lydia B. Chilton, Kathleen R. McKeown

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024.

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

Proceedings of the Advances in Information Retrieval, 2024

2023

From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting.

Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Eric Lehman, Noémie Elhadad

CoRR, 2023

A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization.

Griffin Adams, Jason Zucker, Noémie Elhadad

CoRR, 2023

A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization.

Griffin Adams, Jason Zuckerg, Noémie Elhadad

Proceedings of the Machine Learning for Healthcare Conference, 2023

ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications.

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

Proceedings of the Advances in Information Retrieval, 2023

Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification of Doctor-Patient Conversations.

Wen-wai Yim, Asma Ben Abacha, Griffin Adams, Neal Snider, Meliha Yetisgen

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications.

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

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization.

Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Generating EDU Extracts for Plan-Guided Summary Re-Ranking.

Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Noémie Elhadad, Kathleen R. McKeown

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations.

Asma Ben Abacha, Wen-wai Yim, Griffin Adams, Neal Snider, Meliha Yetisgen

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries.

Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning to Revise References for Faithful Summarization.

Griffin Adams, Han-Chin Shing, Qing Sun, Christopher Winestock, Kathleen R. McKeown, Noémie Elhadad

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries.

Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev

CoRR, 2021

What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization.

Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Exploring Automatic Summarization of the Hospital Course.

Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noemie Elhadad

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory.

Griffin Adams, Sarguna Janani Padmanabhan, Shivang Shekhar

CoRR, 2020

Zero-Shot Clinical Acronym Expansion with a Hierarchical Metadata-Based Latent Variable Model.

Griffin Adams, Mert Ketenci, Adler J. Perotte, Noemie Elhadad

CoRR, 2020

Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All.

Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland

Proceedings of the Machine Learning for Health Workshop, 2020

Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells.

Griffin Adams, Mert Ketenci, Shreyas Bhave, Adler J. Perotte, Noémie Elhadad

Proceedings of the Machine Learning for Health Workshop, 2020

2018

TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes.

Monica Agrawal, Griffin Adams, Nathan Nussbaum, Benjamin Birnbaum

CoRR, 2018