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Augmenting Interpretable Models with LLMs during Training

Augmenting Interpretable Models with LLMs during Training

23 September 2022
Chandan Singh
Armin Askari
R. Caruana
Jianfeng Gao
ArXivPDFHTML

Papers citing "Augmenting Interpretable Models with LLMs during Training"

13 / 13 papers shown
Title
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
Nanxu Gong
Xinyuan Wang
Wangyang Ying
Haoyue Bai
Sixun Dong
Haifeng Chen
Yanjie Fu
LLMAG
60
0
0
30 Apr 2025
Model Lakes
Model Lakes
Koyena Pal
David Bau
Renée J. Miller
63
0
0
24 Feb 2025
Interacting Large Language Model Agents. Interpretable Models and Social
  Learning
Interacting Large Language Model Agents. Interpretable Models and Social Learning
Adit Jain
Vikram Krishnamurthy
LLMAG
28
0
0
02 Nov 2024
Large Scale Foundation Models for Intelligent Manufacturing
  Applications: A Survey
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang
S. D. Semujju
Zhicheng Wang
Xianwei Lv
Kang Xu
...
Jing Wu
Zhuo Long
Wensheng Liang
Xiaoguang Ma
Ruiyan Zhuang
UQCV
AI4TS
AI4CE
27
4
0
11 Dec 2023
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
John X. Morris
Chandan Singh
Alexander M. Rush
Jianfeng Gao
Yuntian Deng
VLM
LRM
17
17
0
21 Oct 2023
Explaining black box text modules in natural language with language
  models
Explaining black box text modules in natural language with language models
Chandan Singh
Aliyah R. Hsu
Richard Antonello
Shailee Jain
Alexander G. Huth
Bin-Xia Yu
Jianfeng Gao
MILM
16
46
0
17 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
251
2,232
0
22 Mar 2023
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
133
185
0
31 May 2022
PromptSource: An Integrated Development Environment and Repository for
  Natural Language Prompts
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen H. Bach
Victor Sanh
Zheng-Xin Yong
Albert Webson
Colin Raffel
...
Khalid Almubarak
Xiangru Tang
Dragomir R. Radev
Mike Tian-Jian Jiang
Alexander M. Rush
VLM
225
338
0
02 Feb 2022
Hierarchical Shrinkage: improving the accuracy and interpretability of
  tree-based methods
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods
Abhineet Agarwal
Yan Shuo Tan
Omer Ronen
Chandan Singh
Bin-Xia Yu
63
27
0
02 Feb 2022
Learning from the Best: Rationalizing Prediction by Adversarial
  Information Calibration
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
114
35
0
16 Dec 2020
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
46
195
0
06 Apr 2017
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
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