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UFO: a Unified and Flexible Framework for Evaluating Factuality of Large
  Language Models

UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models

22 February 2024
Zhaoheng Huang
Zhao Cao
Yutao Zhu
Ji-Rong Wen
    HILM
ArXivPDFHTML

Papers citing "UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models"

3 / 3 papers shown
Title
Are Large Language Models Reliable Judges? A Study on the Factuality
  Evaluation Capabilities of LLMs
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs
Xue-Yong Fu
Md Tahmid Rahman Laskar
Cheng-Hsiung Chen
TN ShashiBhushan
HILM
ELM
68
18
0
01 Nov 2023
Teaching language models to support answers with verified quotes
Teaching language models to support answers with verified quotes
Jacob Menick
Maja Trebacz
Vladimir Mikulik
John Aslanides
Francis Song
...
Mia Glaese
Susannah Young
Lucy Campbell-Gillingham
G. Irving
Nat McAleese
ELM
RALM
246
259
0
21 Mar 2022
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
181
3,510
0
10 Jun 2015
1