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In the ever-expanding landscape of academic research, the proliferation of ideas presents a significant challenge for researchers: discerning valuable ideas from the less impactful ones.
The proof and measurement of association between two things
Charles Spearman. 1961 · 1961
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Literature dynamics: Studies on growth, diffusion, and epidemics
Albert N Tabah. 1999 · 1999
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Grobid: Combining automatic bibliographic data recognition and term extraction for scholarship publications
Patrice Lopez. 2009 · 2009
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Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references
Lutz Bornmann and Rüdiger Mutz. 2015 · 2015
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Scibert: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019
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Ai-assisted peer review
Alessandro Checco, Lorenzo Bracciale, Pierpaolo Loreti, Stephen Pinfield, and Giuseppe Bianchi. 2021 · 2021
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Transformer feed-forward layers are key-value memories
Mor Geva, Roei Schuster, Jonathan Berant, and Omer Levy. 2021 · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al. 2021 · 2021
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Can we automate scientific reviewing?
Weizhe Yuan, Pengfei Liu, and Graham Neubig. 2022 · 2022
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Efficient memory management for large language model serving with pagedattention
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Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Smith, Yian Yin, et al. 2023 · 2023
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Reviewergpt? an exploratory study on using large language models for paper reviewing
Ryan Liu and Nihar B Shah. 2023 · 2023
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
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Quantifying knowledge from the perspective of information structurization
Xinbing Wang, Huquan Kang, Luoyi Fu, Ling Yao, Jiaxin Ding, Jianghao Wang, Xiaoying Gan, Chenghu Zhou, and John E Hopcroft. 2023 · 2023
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Exploring and verbalizing academic ideas by concept co-occurrence
Yi Xu, Shuqian Sheng, Bo Xue, Luoyi Fu, Xinbing Wang, and Chenghu Zhou. 2023 · 2023
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Baichuan 2: Open large-scale language models
Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Ce Bian, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, et al. 2023 · 2023
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Siren’s song in the ai ocean: A survey on hallucination in large language models
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SelfCheckGPT: Zero-resource black-box hallucination detection for generative large language models
Potsawee Manakul, Adian Liusie, and Mark Gales. 2023 · 2023
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Predicting article quality scores with machine learning: The uk research excellence framework
Mike Thelwall, Kayvan Kousha, Paul Wilson, Meiko Makita, Mahshid Abdoli, Emma Stuart, Jonathan Levitt, Petr Knoth, and Matteo Cancellieri. 2023 · 2023
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Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, et al. 2023 · 2023
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Representation engineering: A top-down approach to ai transparency
Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, et al. 2023 · 2023
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Litllm: A toolkit for scientific literature review
Shubham Agarwal, Issam H Laradji, Laurent Charlin, and Christopher Pal. 2024 · 2024
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