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Know Your Audience: The benefits and pitfalls of generating plain
  language summaries beyond the "general" audience

Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience

8 March 2024
Tal August
Kyle Lo
Noah A. Smith
Katharina Reinecke
ArXivPDFHTML

Papers citing "Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience"

4 / 4 papers shown
Title
Large Language Models are Diverse Role-Players for Summarization
  Evaluation
Large Language Models are Diverse Role-Players for Summarization Evaluation
Ning Wu
Ming Gong
Linjun Shou
Shining Liang
Daxin Jiang
57
44
0
27 Mar 2023
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of
  Scientific Concepts
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts
Sonia K. Murthy
Kyle Lo
Daniel King
Chandra Bhagavatula
Bailey Kuehl
Sophie Johnson
Jon Borchardt
Daniel S. Weld
Tom Hope
Doug Downey
18
12
0
14 May 2022
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in
  Abstractive Summarization
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Mengyao Cao
Yue Dong
Jackie C.K. Cheung
HILM
170
144
0
30 Aug 2021
Entity-level Factual Consistency of Abstractive Text Summarization
Entity-level Factual Consistency of Abstractive Text Summarization
Feng Nan
Ramesh Nallapati
Zhiguo Wang
Cicero Nogueira dos Santos
Henghui Zhu
Dejiao Zhang
Kathleen McKeown
Bing Xiang
HILM
139
156
0
18 Feb 2021
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