[2209.11799] Augmenting Interpretable Models with LLMs during ...

Augmenting Interpretable Models with LLMs during Training - arXiv

Computer Science > Artificial Intelligence. arXiv:2209.11799 (cs). [Submitted on 23 Sep 2022 (v1), last revised 25 Apr 2023 (this version, v3)] ...

Augmenting Interpretable Models with LLMs during Training. \fnmChandan \sur ... interpretable model, but does not use the LLM during inference. This ...

(PDF) Augmenting Interpretable Models with LLMs during Training

github.com/microsoft/augmented-interpretable-models. 1. arXiv:2209.11799v3 [cs.AI] 25 Apr 2023.

Augmenting interpretable models with large language ... - PubMed

... LLMs to build extremely efficient and interpretable prediction models. Aug-imodels use LLMs during fitting but not during inference ...

microsoft/augmented-interpretable-models - GitHub

Augmenting Interpretable Models with LLMs during Training. This repo contains ... 2209.11799}, archivePrefix={arXiv}, primaryClass={cs.AI} }. About.

readme.md - microsoft/augmented-interpretable-models - GitHub

Augmenting Interpretable Models with LLMs during Training. This repo contains ... 2209.11799}, archivePrefix={arXiv}, primaryClass={cs.AI} }. Footer.

‪Armin Askari‬ - ‪Google Scholar‬

Augmenting interpretable models with llms during training. C Singh, A Askari, R Caruana, J Gao. arXiv preprint arXiv:2209.11799, 2022. 5, 2022. Approximation ...

Scientific Research Project - Medical Informatics - Amsterdam UMC

"Augmenting interpretable models with LLMs during training." arXiv preprint arXiv:2209.11799 (2022). [2] Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen ...

Augmenting interpretable models with large language ... - OUCI

... LLMs to build extremely efficient and interpretable prediction models. Aug-imodels use LLMs during fitting but not during inference, allowing complete ...

‪Armin Askari‬ - ‪Google 學術搜尋‬

... in naive bayes. A ... Augmenting interpretable models with llms during training. C Singh, A Askari, R Caruana, J Gao. arXiv preprint arXiv:2209.11799, 2022.

(PDF) Augmenting interpretable models with large language models ...

Aug-imodels use LLMs during fitting but not during inference, allowing complete transparency and often a speed/memory improvement of greater ...

Augmenting interpretable models with large language models ...

... LLMs to build extremely efficient and interpretable prediction models. Aug-imodels use LLMs during fitting but not during inference, allowing complete ...

Augmenting Interpretable Models With Large Language ... - Scribd

1 | Aug-imodels use an LLM to augment an interpretable model during linear model. A linear coefﬁcient for each ngram in the input is obtained by taking

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Augmenting Interpretable Models with LLMs during Training. Authors: Chandan Singh, Armin Askari, Rich Caruana, Jianfeng Gao. Abstract: Recent large language ...

[PDF] Rethinking Interpretability in the Era of Large Language Models

This work introduces question-answering embeddings (QA-Emb), embeddings where each feature represents an answer to a yes/no question asked to an LLM.

Augmenting interpretable models with large language models ... - BVS

The Virtual Health Library is a collection of scientific and technical information sources in health organized, and stored in electronic format in the ...

AI Transparency in the Age of LLMs: A Human-Centered Research ...

Models can also be augmented with the ability to call on external models ... Human factors in model interpretability: Industry practices, ...