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The rapid growth of scientific literature demands robust tools for automated survey-generation.
A probabilistic interpretation of precision, recall and f-score, with implication for evaluation
Cyril Goutte and Eric Gaussier · 2005
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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
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Xu Wang, Sen Wang, Xingxing Liang, Dawei Zhao, Jincai Huang, Xin Xu, Bin Dai, and Qiguang Miao · 2022
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Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi · 2023
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Yilun Du, Shuang Li, Antonio Torralba, Joshua B Tenenbaum, and Igor Mordatch · 2023
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Openscholar: Synthesizing scientific literature with retrieval-augmented lms
Akari Asai, Jacqueline He, Rulin Shao, Weijia Shi, Amanpreet Singh, Joseph Chee Chang, Kyle Lo, Luca Soldaini, Sergey Feldman, Mike D’arcy, et al · 2024
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Large language model based multi-agents: A survey of progress and challenges
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al · 2025
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Konstantinos I Roumeliotis and Nikolaos D Tselikas · 2023
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Autosurvey: Large language models can automatically write surveys
Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Qingsong Wen, Wei Ye, et al · 2024
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Aaron Hurst, Adam Lerer, Adam P Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, et al · 2024
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Yijia Shao, Yucheng Jiang, Theodore A Kanell, Peter Xu, Omar Khattab, and Monica S Lam · 2024
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Yucheng Jiang, Yijia Shao, Dekun Ma, Sina J Semnani, and Monica S Lam · 2024
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