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Training Language Models on the Knowledge Graph: Insights on
  Hallucinations and Their Detectability

Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability

14 August 2024
Jiri Hron
Laura J. Culp
Gamaleldin F. Elsayed
Rosanne Liu
Ben Adlam
Maxwell Bileschi
Bernd Bohnet
JD Co-Reyes
Noah Fiedel
C. Daniel Freeman
Izzeddin Gur
Kathleen Kenealy
Jaehoon Lee
Peter J. Liu
Gaurav Mishra
Igor Mordatch
Azade Nova
Roman Novak
Aaron T Parisi
Jeffrey Pennington
Alex Rizkowsky
Isabelle Simpson
Hanie Sedghi
Jascha Narain Sohl-Dickstein
Kevin Swersky
Sharad Vikram
T. Warkentin
Lechao Xiao
Kelvin Xu
Jasper Snoek
Simon Kornblith
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Papers citing "Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability"

2 / 2 papers shown
Title
Simfluence: Modeling the Influence of Individual Training Examples by
  Simulating Training Runs
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs
Kelvin Guu
Albert Webson
Ellie Pavlick
Lucas Dixon
Ian Tenney
Tolga Bolukbasi
TDI
66
33
0
14 Mar 2023
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
226
4,424
0
23 Jan 2020
1