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GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security

GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security

Xuanqing Liu
Luyang Kong
Runhui Wang
Patrick Song
Austin Nevins
Henrik Johnson
Nimish Amlathe
Davor Golac
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Papers citing "GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security"

4 / 4 papers shown
Title
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Hashmath Shaik
Alex Doboli
OffRL
ELM
226
0
0
31 Dec 2024
SMUTF: Schema Matching Using Generative Tags and Hybrid Features
SMUTF: Schema Matching Using Generative Tags and Hybrid Features
Yu Zhang
Mei Di
Haozheng Luo
Chenwei Xu
Richard Tzong-Han Tsai
65
0
0
22 Jan 2024
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
384
12,081
0
04 Mar 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,532
0
23 Jan 2020