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We show that large language models (LLMs) are remarkably good at working with interpretable models that decompose complex outcomes into univariate graph-represented components.
Apache-ii score for assessment and monitoring of acute pancreatitis
Michael Larvin and MichaelJ Mcmahon · 1989
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Generalized additive models
Trevor J Hastie and Robert J Tibshirani · 1990
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A new simplified acute physiology score (saps ii) based on a european/north american multicenter study
Jean-Roger Le Gall, Stanley Lemeshow, and Fabienne Saulnier · 1993
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Bagging predictors
Leo Breiman · 1996
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An evaluation of machine-learning methods for predicting pneumonia mortality
Gregory F Cooper, Constantin F Aliferis, Richard Ambrosino, John Aronis, Bruce G Buchanan, Richard Caruana, Michael J Fine, Clark Glymour, Geoffrey Gordon, Barbara H Hanusa, et al · 1997
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Predictors of in-hospital mortality of older patients admitted for community-acquired pneumonia
Hon Ming Ma, Wing Han Tang, and Jean Woo · 2011
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Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission
Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, and Noemie Elhadad · 2015
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A unified approach to interpreting model predictions
Scott M Lundberg and Su-In Lee · 2017
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Classification and regression trees
Leo Breiman, Jerome H Friedman, Richard A Olshen, and Charles J Stone · 2017
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Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study
John R Zech, Marcus A Badgeley, Manway Liu, Anthony B Costa, Joseph J Titano, and Eric Karl Oermann · 2018
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Interpretml: A unified framework for machine learning interpretability
Harsha Nori, Samuel Jenkins, Paul Koch, and Rich Caruana · 2019
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Gam changer: Editing generalized additive models with interactive visualization
Zijie J Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, and Rich Caruana · 2021
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Death by round numbers: Glass-box machine learning uncovers biases in medical practice
Ehr safari: Data is contextual
William Boag, Mercy Oladipo, and Peter Szolovits · 2022
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Post-hoc explanations fail to achieve their purpose in adversarial contexts
Sebastian Bordt, Michèle Finck, Eric Raidl, and Ulrike von Luxburg · 2022
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Lost in the middle: How language models use long contexts
Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang · 2023
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Interpretable medical diagnostics with structured data extraction by large language models
Aleksa Bisercic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Pietro Lio, and Andrija Petrovic · 2023
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Tabllm: Few-shot classification of tabular data with large language models
Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, and David Sontag · 2023
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Benjamin J Lengerich, Rich Caruana, Mark E Nunnally, and Manolis Kellis · 2022
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Talktomodel: Understanding machine learning models with open ended dialogues
Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh · 2022
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Can foundation models wrangle your data?
Avanika Narayan, Ines Chami, Laurel Orr, Simran Arora, and Christopher Ré · 2022
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Towards parameter-efficient automation of data wrangling tasks with prefix-tuning
David Vos, Till Döhmen, and Sebastian Schelter · 2022
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Language models are realistic tabular data generators
Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, and Gjergji Kasneci · 2022
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Anypredict: Foundation model for tabular prediction
Zifeng Wang, Chufan Gao, Cao Xiao, and Jimeng Sun · 2023
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Tabret: Pre-training transformer-based tabular models for unseen columns
Soma Onishi, Kenta Oono, and Kohei Hayashi · 2023
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Capabilities of gpt-4 on medical challenge problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz · 2023
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From shapley values to generalized additive models and back
Sebastian Bordt and Ulrike von Luxburg · 2023
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