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Understanding Generative AI Content with Embedding Models

Understanding Generative AI Content with Embedding Models

19 August 2024
Max Vargas
Reilly Cannon
A. Engel
Anand D. Sarwate
Tony Chiang
ArXivPDFHTML

Papers citing "Understanding Generative AI Content with Embedding Models"

5 / 5 papers shown
Title
Token embeddings violate the manifold hypothesis
Token embeddings violate the manifold hypothesis
Michael Robinson
Sourya Dey
Tony Chiang
43
1
0
01 Apr 2025
Assessing Generative Models for Structured Data
Assessing Generative Models for Structured Data
Reilly Cannon
Nicolette M. Laird
Caesar Vazquez
Andy Lin
Amy Wagler
Tony Chiang
43
0
0
26 Mar 2025
Exploring Gen-AI applications in building research and industry: A review
Exploring Gen-AI applications in building research and industry: A review
Hanlong Wan
Jian Zhang
Yan Chen
Weili Xu
Fan Feng
AI4CE
47
0
0
01 Oct 2024
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
226
405
0
24 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
351
75,888
0
18 May 2015
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