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Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships

Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships

17 February 2025
Angie Boggust
Hyemin Bang
Hendrik Strobelt
Arvindmani Satyanarayan
ArXivPDFHTML

Papers citing "Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships"

5 / 5 papers shown
Title
Can Language Models Be Specific? How?
Can Language Models Be Specific? How?
Jie Huang
Kevin Chen-Chuan Chang
Jinjun Xiong
Wen-mei W. Hwu
60
8
0
11 Oct 2022
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
MILM
194
116
0
26 Jan 2022
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
169
1,877
0
02 Feb 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
398
2,576
0
03 Sep 2019
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
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