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As scientific research proliferates, researchers face the daunting task of navigating and reading vast amounts of literature.
Google scholar’s ranking algorithm: an introductory overview
Jöran Beel and Bela Gipp. 2009 · 2009
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The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson, Hugo Zaragoza, et al. 2009 · 2009
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Electronic journals and changes in scholarly article seeking and reading patterns
Carol Tenopir, Donald W King, Sheri Edwards, and Lei Wu. 2009 · 2009
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A survey of text summarization techniques
Ani Nenkova and Kathleen McKeown. 2012 · 2012
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Construction of the literature graph in semantic scholar
Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, et al. 2018 · 2018
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020 · 2020
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Augmenting scientific papers with just-in-time, position-sensitive definitions of terms and symbols
Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S Weld, and Marti A Hearst. 2021 · 2021
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Unsupervised dense information retrieval with contrastive learning
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, and Edouard Grave. 2022 · 2022
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Scibertsum: extractive summarization for scientific documents
Athar Sefid and C Lee Giles. 2022 · 2022
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Paper plain: Making medical research papers approachable to healthcare consumers with natural language processing
Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A Hearst, Andrew Head, and Kyle Lo. 2023 · 2023
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Walking down the memory maze: Beyond context limit through interactive reading
How to train your dragon: Diverse augmentation towards generalizable dense retrieval
Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, and Xilun Chen. 2023 · 2023
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In-context retrieval-augmented language models
Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, and Yoav Shoham. 2023 · 2023
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Replug: Retrieval-augmented black-box language models
Shi Weijia, Min Sewon, Yasunaga Michihiro, Seo Minjoon, James Rich, Lewis Mike, and Yih Wen-tau. 2023 · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al. 2023 · 2023
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Thought-retriever: Don’t just retrieve raw data, retrieve thoughts
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Howard Chen, Ramakanth Pasunuru, Jason Weston, and Asli Celikyilmaz. 2023 · 2023
Cited alongside, same era.
Scim: Intelligent skimming support for scientific papers
Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Marti Hearst, Andrew Head, and Daniel S Weld. 2023 · 2023
Cited alongside, same era.
Tao Feng, Pengrui Han, Guanyu Lin, Ge Liu, and Jiaxuan You. 2024 · 2024
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