Griffin Adams | DeepAI

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∙ 09/08/2023

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

Selecting the “right” amount of information to include in a summary is a...

0 Griffin Adams, et al. ∙

∙ 05/28/2023

Generating EDU Extracts for Plan-Guided Summary Re-Ranking

Two-step approaches, in which summary candidates are generated-then-rera...

0 Griffin Adams, et al. ∙

∙ 05/12/2023

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

Summarization models often generate text that is poorly calibrated to qu...

0 Griffin Adams, et al. ∙

∙ 03/07/2023

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

Long-form clinical summarization of hospital admissions has real-world s...

0 Griffin Adams, et al. ∙

∙ 04/13/2022

Learning to Revise References for Faithful Summarization

In many real-world scenarios with naturally occurring datasets, referenc...

0 Griffin Adams, et al. ∙

∙ 09/19/2021

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries

Current pre-trained models applied to summarization are prone to factual...

9 Xiangru Tang, et al. ∙

∙ 12/08/2020

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

We address two major challenges of implicit coordination in multi-agent ...

0 Griffin Adams, et al. ∙

∙ 09/29/2020

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

We introduce Latent Meaning Cells, a deep latent variable model which le...

0 Griffin Adams, et al. ∙

∙ 11/30/2018

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

Oral drugs are becoming increasingly common in oncology care. In contras...

0 Monica Agrawal, et al. ∙

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