TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes. - Monica Agrawal; Griffin Adams; Nathan Nussbaum; Benjamin Birnbaum (CoRR, 2018)

Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells. - Griffin Adams; Mert Ketenci; Shreyas Bhave; Adler J. Perotte; Noémie Elhadad (ML4H@NeurIPS, 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 (ML4H@NeurIPS, 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)

Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory. - Griffin Adams; Sarguna Janani Padmanabhan; Shivang Shekhar (CoRR, 2020)

Exploring Automatic Summarization of the Hospital Course. - Griffin Adams; Emily Alsentzer; Mert Ketenci; Jason Zucker 001; Noemie Elhadad (AMIA, 2021)

What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. - Griffin Adams; Emily Alsentzer; Mert Ketenci; Jason Zucker 001; Noémie Elhadad (NAACL-HLT, 2021)

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. - Xiangru Tang; Alexander R. Fabbri; Ziming Mao; Griffin Adams; Borui Wang; Haoran Li 007; Yashar Mehdad; Dragomir R. Radev (CoRR, 2021)

Learning to Revise References for Faithful Summarization. - Griffin Adams; Han-Chin Shing; Qing Sun; Christopher Winestock; Kathleen R. McKeown; Noémie Elhadad (EMNLP (Findings), 2022)

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. - Xiangru Tang; Alexander R. Fabbri; Haoran Li 007; Ziming Mao; Griffin Adams; Borui Wang; Asli Celikyilmaz; Yashar Mehdad; Dragomir R. Radev (NAACL-HLT, 2022)

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 (ClinicalNLP@ACL, 2023)

Generating EDU Extracts for Plan-Guided Summary Re-Ranking. - Griffin Adams; Alexander R. Fabbri; Faisal Ladhak; Noémie Elhadad; Kathleen R. McKeown (ACL (1), 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 003; Anna Ostropolets; Budhaditya Deb; Yuan-Jyue Chen; Tristan Naumann; Noémie Elhadad (ACL (1), 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; et al. (CLEF, 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 (CLEF (Working Notes), 2023)

ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Claudia Dragulinescu; Adrian Popescu 001; Ahmad Idrissi-Yaghir; Alba García Seco de Herrera; Alexandra Andrei; Alexandru Stan; Andrea M. Storås; Asma Ben Abacha; Christoph M. Friedrich; George Ioannidis; et al. (ECIR (3), 2023)

A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization. - Griffin Adams; Jason Zuckerg; Noémie Elhadad (MLHC, 2023)

A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization. - Griffin Adams; Jason Zucker 001; Noémie Elhadad (CoRR, 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)

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 001; et al. (ECIR (6), 2024)

STORYSUMM: Evaluating Faithfulness in Story Summarization. - Melanie Subbiah; Faisal Ladhak; Akankshya Mishra; Griffin Adams; Lydia B. Chilton; Kathleen R. McKeown (EMNLP, 2024)

SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval. - Griffin Adams; Jason Zucker 001; Noémie Elhadad (CoRR, 2024)

Generating Faithful and Complete Hospital-Course Summaries from the Electronic Health Record. - Griffin Adams (CoRR, 2024)

Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling. - Benjamin Clavié; Antoine Chaffin; Griffin Adams (CoRR, 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; et al. (CoRR, 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; Griffin Thomas Adams; Jeremy Howard; et al. (ACL (1), 2025)