Fetching the paper…
Reading the bibliography…
Abstractive citation text generation is usually framed as an infilling task, where a sequence-to-sequence model is trained to generate a citation given a reference paper and the context window around the target; the generated citation should be a brief discussion of the reference paper as it relates to the citing context.
The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2019 · 1904
Earlier work this paper cites.
Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
Earlier work this paper cites.
Automatic classification of citation function
Simone Teufel, Advaith Siddharthan, and Dan Tidhar. 2006 · 2006
Earlier work this paper cites.
Towards automated related work summarization
Cong Duy Vu Hoang and Min-Yen Kan. 2010 · 2010
Earlier work this paper cites.
Automatic generation of related work sections in scientific papers: An optimization approach
Yue Hu and Xiaojun Wan. 2014 · 2014
Earlier work this paper cites.
The limits of automatic summarisation according to rouge
Natalie Schluter. 2017 · 2017
Cited alongside, same era.
Automatic generation of related work through summarizing citations
Jingqiang Chen and Hai Zhuge. 2019 · 2019
Cited alongside, same era.
Automatic generation of citation texts in scholarly papers: A pilot study
Xinyu Xing, Xiaosheng Fan, and Xiaojun Wan. 2020 · 2020
Cited alongside, same era.
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.
Explaining relationships between scientific documents
Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, and Noah A. Smith. 2021 · 2021
Later among the works it cites.
Generating (factual?) narrative summaries of rcts: Experiments with neural multi-document summarization
Byron C Wallace, Sayantan Saha, Frank Soboczenski, and Iain J Marshall. 2021 · 2021
Later among the works it cites.
Re-examining system-level correlations of automatic summarization evaluation metrics
Daniel Deutsch, Rotem Dror, and Dan Roth. 2022 · 2022
Later among the works it cites.
CORWA: A citation-oriented related work annotation dataset
Xiangci Li, Biswadip Mandal, and Jessica Ouyang. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…