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Numerous AI-assisted scholarly applications have been developed to aid different stages of the research process.
An annotation scheme for citation function
Simone Teufel, Advaith Siddharthan, and Dan Tidhar. 2006 · 2006
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Becoming writing, becoming writers
Julia Colyar. 2009 · 2009
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Towards Automated Related Work Summarization
Cong Duy Vu Hoang and Min-Yen Kan. 2010 · 2010
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Measuring the evolution of a scientific field through citation frames
David Jurgens, Srijan Kumar, Raine Hoover, Dan McFarland, and Dan Jurafsky. 2018 · 2018
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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
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Towards an Integrative Approach for Automated Literature Reviews Using Machine Learning
Christoph Tauchert, Marco Bender, Neda Mesbah, and Peter Buxmann. 2020 · 2020
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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
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Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases
Lutz Bornmann, Robin Haunschild, and Rüdiger Mutz. 2021 · 2021
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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
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Generating Related Work
Darsh Shah and Regina Barzilay. 2021 · 2021
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A roadmap toward the automatic composition of systematic literature reviews
Eugênio Monteiro da Silva Júnior and Moisés Lima Dutra. 2021 · 2021
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Automatic Related Work Section Generation by Sentence Extraction and Reordering
Zekun Deng, Zixin Zeng, Weiye Gu, Jiawen Ji, and Bolin Hua. 2021 · 2021
Cited alongside, same era.
Target-aware Abstractive Related Work Generation with Contrastive Learning
Xiuying Chen, Hind Alamro, Mingzhe Li, 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.
Automatic Related Work Generation: A Meta Study
Xiangci Li and Jessica Ouyang. 2022 · 2022
Cited alongside, same era.
A Knowledge Graph-Based Method for Automating Systematic Literature Reviews
Nada Sahlab, Hesham Kahoul, Nasser Jazdi, and Michael Weyrich. 2022 · 2022
Cited alongside, same era.
LexSym: Compositionality as lexical symmetry
Do androids laugh at electric sheep? humor “understanding” benchmarks from the new yorker caption contest
Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, and Yejin Choi. 2023 · 2023
Later among the works it cites.
Glot500: Scaling multilingual corpora and language models to 500 languages
Ayyoob ImaniGooghari, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André Martins, François Yvon, and Hinrich Schütze. 2023 · 2023
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The Utility of ChatGPT in Educational Research—Potential Opportunities and Pitfalls
Turgut Karakose. 2023 · 2023
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Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network
Mario Krenn, Lorenzo Buffoni, Bruno Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, and Michael Kopp. 2023 · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ekin Akyurek and Jacob Andreas. 2023 · 2023
Cited alongside, same era.
Chatgpt applications in Academic Research: A Review of Benefits, Concerns, and Recommendations
Adhari AlZaabi, Amira ALAmri, Halima Albalushi, Ruqaya Aljabri, and AbdulRahman AalAbdulsalam. 2023 · 2023
Cited alongside, same era.
Academic Writing with GPT-3.5: Reflections on Practices, Efficacy and Transparency
Oğuz ’Oz’ Buruk. 2023 · 2023
Cited alongside, same era.
Marked personas: Using natural language prompts to measure stereotypes in language models
Myra Cheng, Esin Durmus, and Dan Jurafsky. 2023 · 2023
Cited alongside, same era.
Improving pretraining techniques for code-switched NLP
Richeek Das, Sahasra Ranjan, Shreya Pathak, and Preethi Jyothi. 2023 · 2023
Cited alongside, same era.
When does translation require context? a data-driven, multilingual exploration
Patrick Fernandes, Kayo Yin, Emmy Liu, André Martins, and Graham Neubig. 2023 · 2023
Cited alongside, same era.
Ziqiao Ma, Jiayi Pan, and Joyce Chai. 2023 · 2023
Later among the works it cites.
Small data, big impact: Leveraging minimal data for effective machine translation
Jean Maillard, Cynthia Gao, Elahe Kalbassi, Kaushik Ram Sadagopan, Vedanuj Goswami, Philipp Koehn, Angela Fan, and Francisco Guzman. 2023 · 2023
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Chatgpt and Academic Research: A Review and Recommendations Based on Practical Examples
Mizanur Rahman, Harold Jan R Terano, Nafizur Rahman, Aidin Salamzadeh, and Saidur Rahaman. 2023 · 2023
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Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?
Jaromir Savelka, Kevin D. Ashley, Morgan A Gray, Hannes Westermann, and Huihui Xu. 2023 · 2023
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Faithful low-resource data-to-text generation through cycle training
Zhuoer Wang, Marcus Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, and Oleg Rokhlenko. 2023 · 2023
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Do PLMs know and understand ontological knowledge?
Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, and Kewei Tu. 2023 · 2023
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Literature reviews
Carnegie Mellon University · 2024
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