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Explaining Patterns in Data with Language Models via Interpretable
  Autoprompting

Explaining Patterns in Data with Language Models via Interpretable Autoprompting

4 October 2022
Chandan Singh
John X. Morris
J. Aneja
Alexander M. Rush
Jianfeng Gao
    LRM
ArXivPDFHTML

Papers citing "Explaining Patterns in Data with Language Models via Interpretable Autoprompting"

10 / 10 papers shown
Title
Instruction Induction: From Few Examples to Natural Language Task
  Descriptions
Instruction Induction: From Few Examples to Natural Language Task Descriptions
Or Honovich
Uri Shaham
Samuel R. Bowman
Omer Levy
ELM
LRM
107
133
0
22 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
212
335
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
60
27
0
02 Feb 2022
Describing Differences between Text Distributions with Natural Language
Describing Differences between Text Distributions with Natural Language
Ruiqi Zhong
Charles Burton Snell
Dan Klein
Jacob Steinhardt
VLM
114
42
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
274
882
0
18 Apr 2021
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
92
35
0
16 Dec 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
391
2,216
0
03 Sep 2019
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
249
618
0
04 Dec 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
196
876
0
03 May 2018
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