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Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits
22 September 2024
Tuhin Chakrabarty
Philippe Laban
Chien-Sheng Wu
Re-assign community
ArXiv (abs)
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Papers citing
"Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits"
5 / 55 papers shown
Title
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
859
42,379
0
28 May 2020
Automatically Neutralizing Subjective Bias in Text
Reid Pryzant
Richard Diehl Martinez
Nathan Dass
Sadao Kurohashi
Dan Jurafsky
Diyi Yang
79
179
0
21 Nov 2019
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
352
5,860
0
21 Apr 2019
Deep reinforcement learning from human preferences
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
216
3,364
0
12 Jun 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
314
8,169
0
16 Jun 2016
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