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Towards automated related work summarization20
Cong Duy Vu Hoang and Min-Yen Kan. 2010 · 2010
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Earlier work this paper cites.
Automatic related work section generation: experiments in scientific document abstracting
Ahmed AbuRa’ed, Horacio Saggion, Alexander Shvets, and Àlex Bravo. 2020 · 2020
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
Earlier work this paper cites.
Toc-rwg: Explore the combination of topic model and citation information for automatic related work generation
Pancheng Wang, Shasha Li, Haifang Zhou, Jintao Tang, and Ting Wang. 2020 · 2020
Earlier work this paper cites.
Automatic generation of citation texts in scholarly papers: A pilot study
Xinyu Xing, Xiaosheng Fan, and Xiaojun Wan. 2020 · 2020
Earlier work this paper cites.
Capturing relations between scientific papers: An abstractive model for related work section generation
Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, and Rui Yan. 2021 · 2021
Cited alongside, same era.
BACO: A background knowledge- and content-based framework for citing sentence generation
Yubin Ge, Ly Dinh, Xiaofeng Liu, Jinsong Su, Ziyao Lu, Ante Wang, and Jana Diesner. 2021 · 2021
Cited alongside, same era.
Target-aware abstractive related work generation with contrastive learning
Xiuying Chen, Hind Alamro, Li Mingzhe, Shen Gao, Rui Yan, Xin Gao, and Xiangliang Zhang. 2022 · 2022
Cited alongside, same era.
Automatic related work section in scientific article: Research trends and future directions
Army Justitia and Hei-Chia Wang. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
News summarization and evaluation in the era of gpt-3
Tanya Goyal, Junyi Jessy Li, and Greg Durrett. 2023 · 2023
Later among the works it cites.
The role of chatgpt in scientific communication: writing better scientific review articles
Jingshan Huang and Ming Tan. 2023 · 2023
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G-eval: Nlg evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023 · 2023
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
Cited alongside, same era.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004a
Cited in the paper.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004b
Cited in the paper.
Shubham Agarwal, Issam H. Laradji, Laurent Charlin, and Christopher Pal. 2024 · 2024
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