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Health Text Simplification: An Annotated Corpus for Digestive Cancer
  Education and Novel Strategies for Reinforcement Learning

Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning

26 January 2024
Md Mushfiqur Rahman
Mohammad Sabik Irbaz
Kai North
Michelle S. Williams
Marcos Zampieri
Kevin Lybarger
ArXivPDFHTML

Papers citing "Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning"

6 / 6 papers shown
Title
Self-correcting LLM-controlled Diffusion Models
Self-correcting LLM-controlled Diffusion Models
Tsung-Han Wu
Long Lian
Joseph E. Gonzalez
Boyi Li
Trevor Darrell
60
52
0
27 Nov 2023
Self-prompted Chain-of-Thought on Large Language Models for Open-domain
  Multi-hop Reasoning
Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning
Jinyuan Wang
Junlong Li
Hai Zhao
LRM
ReLM
37
20
0
20 Oct 2023
Lexical Complexity Prediction: An Overview
Lexical Complexity Prediction: An Overview
Kai North
Marcos Zampieri
Matthew Shardlow
24
24
0
08 Mar 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
AutoMeTS: The Autocomplete for Medical Text Simplification
AutoMeTS: The Autocomplete for Medical Text Simplification
Hoang Van
David Kauchak
Gondy Leroy
39
30
0
20 Oct 2020
Rethinking Document-level Neural Machine Translation
Rethinking Document-level Neural Machine Translation
Zewei Sun
Mingxuan Wang
Hao Zhou
Chengqi Zhao
Shujian Huang
Jiajun Chen
Lei Li
VLM
72
47
0
18 Oct 2020
1