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Scientific innovation relies on detailed workflows, which include critical steps such as analyzing literature, generating ideas, validating these ideas, interpreting results, and inspiring follow-up research.
Bleu: A method for automatic evaluation of machine translation
K Papineni, Salim Roukos, T Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
Earlier work this paper cites.
Some issues in automatic evaluation of English-Hindi MT: More blues for BLEU
R Ananthakrishnan, P Bhattacharyya, M Sasikumar, and Ritesh M Shah · 2006
Earlier work this paper cites.
Re-evaluating the role of Bleu in machine translation research
Chris Callison-Burch, Miles Osborne, and Philipp Koehn · 2006
Earlier work this paper cites.
Generating impact-based summaries for scientific literature
Qiaozhu Mei and ChengXiang Zhai · 2008
Earlier work this paper cites.
Darwin and the scientific method
Francisco J Ayala · 2009
Earlier work this paper cites.
Aspect-based extractive summarization of online reviews
Xueke Xu, Tao Meng, and Xueqi Cheng · 2011
Earlier work this paper cites.
On the discoursive structure of computer graphics research papers
Beatriz Fisas, Horacio Saggion, and Francesco Ronzano · 2015
Earlier work this paper cites.
Visualizing large-scale and high-dimensional data
Jian Tang, Jingzhou Liu, Ming Zhang, and Qiaozhu Mei · 2016
Earlier work this paper cites.
Unsupervised Aspect-Based Multi-Document abstractive summarization
Maximin Coavoux, Hady Elsahar, and Matthias Gallé · 2019
Earlier work this paper cites.
Inducing document structure for aspect-based summarization
Lea Frermann and Alexandre Klementiev · 2019
Earlier work this paper cites.
Perspective: Dimensions of the scientific method
Eberhard O Voit · 2019
Earlier work this paper cites.
Representation problems in linguistic annotations : ambiguity, variation, uncertainty, error and bias
Christin Beck, Hannah Booth, Mennatallah El-Assady, and Miriam Butt · 2020
Earlier work this paper cites.
TLDR: Extreme summarization of scientific documents
Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel Weld · 2020
Earlier work this paper cites.
TLDR: Extreme summarization of scientific documents
Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel Weld · 2020
Cited alongside, same era.
BLEURT: Learning robust metrics for text generation
T Sellam, D Das, and A P Parikh · 2020
Cited alongside, same era.
WikiAsp: A dataset for multi-domain aspect-based summarization
Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, and Graham Neubig · 2021
Cited alongside, same era.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
Cited alongside, same era.
Introducing chatgpt, 2022
OpenAI · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
On the creativity of large language models
Giorgio Franceschelli and Mirco Musolesi · 2023
Later among the works it cites.
Gpt-4 technical report, 2023
OpenAI · 2023
Later among the works it cites.
Towards improved scientific knowledge proliferation: Leveraging large language models on the traditional scientific writing workflow
Tyler Procko, Alexandra Davidoff, Timothy Elvira, and Omar Ochoa · 2023
Later among the works it cites.
Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, et al · 2023
Later among the works it cites.
OASum: Large-Scale open domain aspect-based summarization
Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda Petzold, and Dong Yu · 2023
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LitLLM: A toolkit for scientific literature review
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke E Miller, Maddie Simens, Amanda Askell, P Welinder, P Christiano, J Leike, and Ryan J Lowe · 2022
Cited alongside, same era.
POTATO: The portable text annotation tool
Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis, and David Jurgens · 2022
Cited alongside, same era.
A survey of evaluation metrics used for NLG systems
Ananya B Sai, Akash Kumar Mohankumar, and Mitesh M Khapra · 2022
Cited alongside, same era.
SQuALITY: Building a long-document summarization dataset the hard way
Alex Wang, Richard Yuanzhe Pang, Angelica Chen, Jason Phang, and Samuel R. Bowman · 2022
Cited alongside, same era.
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 · 2022
Cited alongside, same era.
Oag: Linking entities across large-scale heterogeneous knowledge graphs
Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, et al · 2022
Cited alongside, same era.
OpenAsp: A benchmark for multi-document open aspect-based summarization
Shmuel Amar, Liat Schiff, Ori Ernst, Asi Shefer, Ori Shapira, and Ido Dagan · 2023
Cited alongside, same era.
Shubham Agarwal, Issam H Laradji, Laurent Charlin, and Christopher Pal · 2024
Closest in time.
CRISPR-GPT: An LLM agent for automated design of Gene-Editing experiments
Kaixuan Huang, Yuanhao Qu, Henry Cousins, William A Johnson, Di Yin, Mihir Shah, Denny Zhou, Russ Altman, Mengdi Wang, and Le Cong · 2024
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Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al · 2024
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Synergizing human expertise and AI efficiency with language model for microscopy operation and automated experiment design
Yongtao Liu, Marti Checa, and Rama K Vasudevan · 2024
Closest in time.
LexAbSumm: Aspect-based summarization of legal decisions
T Y S Santosh, Mahmoud Aly, and Matthias Grabmair · 2024
Closest in time.
ACLSum: A new dataset for aspect-based summarization of scientific publications
Sotaro Takeshita, Tommaso Green, Ines Reinig, Kai Eckert, and Simone Paolo Ponzetto · 2024
Closest in time.
Multilingual E5 text embeddings: A technical report
Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, and Furu Wei · 2024
Closest in time.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou · 2024
Closest in time.