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The increasing amount of published scholarly articles, exceeding 2.5 million yearly, raises the challenge for researchers in following scientific progress.
Network motifs: Simple building blocks of complex networks
R. Milo, S. Shen-Orr, S. Itzkovitz, N. Kashtan, D. Chklovskii, and U. Alon · 2002
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Modeling interactome: scale-free or geometric?
N. Pržulj, D. G. Corneil, and I. Jurisica · 2004
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Biological network comparison using graphlet degree distribution
Nataša Pržulj · 2007
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Open research knowledge graph: next generation infrastructure for semantic scholarly knowledge
Mohamad Yaser Jaradeh, Allard Oelen, Kheir Eddine Farfar, Manuel Prinz, Jennifer D’Souza, Gábor Kismihók, Markus Stocker, and Sören Auer · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Trl: Transformer reinforcement learning
Leandro von Werra, Younes Belkada, Lewis Tunstall, Edward Beeching, Tristan Thrush, Nathan Lambert, and Shengyi Huang · 2020
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le · 2021
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Limits for learning with language models
Nicholas Asher, Swarnadeep Bhar, Akshay Chaturvedi, Julie Hunter, and Soumya Paul · 2023
Cited alongside, same era.
Llm-assisted content analysis: Using large language models to support deductive coding
Robert Chew, John Bollenbacher, Michael Wenger, Jessica Speer, and Annice Kim · 2023
Cited alongside, same era.
Complex logical reasoning over knowledge graphs using large language models
Nurendra Choudhary and Chandan K Reddy · 2023
Cited alongside, same era.
Evaluating prompt-based question answering for object prediction in the open research knowledge graph
Jennifer D’Souza, Moussab Hrou, and Sören Auer · 2023
Cited alongside, same era.
From answers to insights: Unveiling the strengths and limitations of chatgpt and biomedical knowledge graphs
Prefix propagation: Parameter-efficient tuning for long sequences
Jonathan Li, Will Aitken, Rohan Bhambhoria, and Xiaodan Zhu · 2023
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Zero-shot nlg evaluation through pairware comparisons with llms
Adian Liusie, Potsawee Manakul, and Mark JF Gales · 2023
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Knowledge graphs: Opportunities and challenges
Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, and Francesco Osborne · 2023
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Are large language models good evaluators for abstractive summarization?
Chenhui Shen, Liying Cheng, Yang You, and Lidong Bing · 2023
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Dynamic transfer learning across graphs
Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, and Dawei Zhou · 2023
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Yu Hou, Jeremy Yeung, Hua Xu, Chang Su, Fei Wang, and Rui Zhang · 2023
Cited alongside, same era.
Prompt-based methods may underestimate large language models’ linguistic generalizations
Jennifer Hu and Roger Levy · 2023
Cited alongside, same era.
Llm-adapters: An adapter family for parameter-efficient fine-tuning of large language models
Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, and Soujanya Poria · 2023
Cited alongside, same era.
Using chatgpt and other large language model (llm) applications for academic paper assignments
Andreas Jungherr · 2023
Cited alongside, same era.
Core: A global aggregation service for open access papers
Petr Knoth, Drahomira Herrmannova, Matteo Cancellieri, Lucas Anastasiou, Nancy Pontika, Samuel Pearce, Bikash Gyawali, and David Pride · 2023
Cited alongside, same era.
Gemini pro defeated by gpt-4v: Evidence from education
Gyeong-Geon Lee, Ehsan Latif, Lehong Shi, and Xiaoming Zhai · 2023
Cited alongside, same era.
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Style over substance: Evaluation biases for large language models
Minghao Wu and Alham Fikri Aji · 2023
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Qa-lora: Quantization-aware low-rank adaptation of large language models
Yuhui Xu, Lingxi Xie, Xiaotao Gu, Xin Chen, Heng Chang, Hengheng Zhang, Zhensu Chen, Xiaopeng Zhang, and Qi Tian · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L Griffiths, Yuan Cao, and Karthik Narasimhan · 2023
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Classifying course discussion board questions using llms
Paul Zhang, Brandon Jaipersaud, Jimmy Ba, Andrew Petersen, Lisa Zhang, and Michael R Zhang · 2023
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Cpet: Effective parameter-efficient tuning for compressed large language models
Weilin Zhao, Yuxiang Huang, Xu Han, Zhiyuan Liu, Zhengyan Zhang, and Maosong Sun · 2023
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