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Large language models (LLMs) have achieved huge success for their general knowledge and ability to solve a wide spectrum of tasks in natural language processing (NLP).
Neural computing in geophysics
Michael D. McCormack · 1991
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Adaptive minimum prediction-error deconvolution and source wavelet estimation using hopfield neural networks
Li-Xin Wang and Jerry M. Mendel · 1992
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A support vector machine for avo interpretation
Heidi Anderson Kuzma · 2003
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Methods to compute fault images, extract fault surfaces, and estimate fault throws from 3d seismic images
Dave Hale · 2013
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Supervised learning to detect salt body
Pablo Guillén, Germán Larrazábal, Gladys Gonzalez, Dainis Boumber, and Ricardo Vilalta · 2015
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Pdffigures 2.0: Mining figures from research papers (jcdl’16). 143–152
Christopher Clark and Santosh Kumar Divvala · 2016
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Salt classification using deep learning
Anders U. Waldeland and Anne H. Schistad Solberg · 2017
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Machine learning can extract the information needed for modelling and data analysing from unstructured documents
Henri Blondelle, A. Juneja, J. Micaelli, and Philip Neri · 2017
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Dgeosegmenter: A dictionary-based chinese word segmenter for the geoscience domain
Qinjun Qiu, Zhong Xie, Liang Wu, and Wenjia Li · 2018
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Information extraction and knowledge graph construction from geoscience literature
Chengbin Wang, Xiaogang Ma, Jianguo Chen, and Jingwen Chen · 2018
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Similarity of fast and slow earthquakes illuminated by machine learning
Claudia Hulbert, Bertrand Rouet-Leduc, Paul A. Johnson, Christopher X. Ren, Jacques Rivière, David C. Bolton, and Chris Marone · 2018
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Geoscience keyphrase extraction algorithm using enhanced word embedding
Qinjun Qiu, Zhong Xie, Liang Wu, and Wenjia Li · 2019
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Machine learning for data-driven discovery in solid earth geoscience
Karianne J. Bergen, Paul A. Johnson, Maarten V. de Hoop, and Gregory C. Beroza · 2019
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Scibert: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan · 2019
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang · 2019
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Clinicalbert: Modeling clinical notes and predicting hospital readmission
Kexin Huang, Jaan Altosaar, and Rajesh Ranganath · 2019
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Megatron-lm: Training multi-billion parameter language models using model parallelism
Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper, and Bryan Catanzaro · 2019
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Automatic spatiotemporal and semantic information extraction from unstructured geoscience reports using text mining techniques
Qinjun Qiu, Zhong Xie, Liang Wu, and Liufeng Tao · 2020
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Legal-bert: The muppets straight out of law school
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos · 2020
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Using Transformer Networks and Knowledge Graphs in Earth Science Literature to Synthesize Mass Information for Transdisciplinary Research
L. Y. Zheng, A. Albayrak, W. L. Teng, M. G. Khayat, and L. Pham · 2020
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Graph convolutional networks for hyperspectral image classification
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio J. Plaza, and Jocelyn Chanussot · 2020
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Gakg: A multimodal geoscience academic knowledge graph
Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, and Cheng Zhou · 2021
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Deep convolutional autoencoders as generic feature extractors in seismological applications
Qingkai Kong, Andrea Chiang, Ana C Aguiar, M Giselle Fernández-Godino, Stephen C Myers, and Donald D Lucas · 2021
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Geo-bert pre-training model for query rewriting in poi search
Xiao Liu, Juan Hu, Qi Shen, and Huan Chen · 2021
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Geoscience language processing for exploration
Huseyin Denli, HassanJaved Chughtai, Brian Hughes, Robert Gistri, and Peng Xu · 2021
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Domain-specific language model pretraining for biomedical natural language processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon · 2021
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BERT-E: An Earth Science Specific Language Model for Domain-Specific Downstream Tasks
Prasanna Koirala, Muthukumaran Ramasubramanian, Iksha Gurung, Manil Maskey, and Rahul Ramachandran · 2021
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Efficient large-scale language model training on gpu clusters using megatron-lm
Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Anand Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, and Matei A. Zaharia · 2021
When geoscience meets foundation models: Towards general geoscience artificial intelligence system
Hao Zhang and Jin-Jian Xu · 2023
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Applications of natural language processing to geoscience text data and prospectivity modeling
Christopher JM Lawley, Michael G Gadd, Mohammad Parsa, Graham W Lederer, Garth E Graham, and Arianne Ford · 2023
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Pk-chat: Pointer network guided knowledge driven generative dialogue model
Cheng Deng, Bo Tong, Luoyi Fu, Jiaxin Ding, Dexing Cao, Xinbing Wang, and Chenghu Zhou · 2023
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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, Aur’elien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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A unified framework of temporal information expression in geosciences knowledge system
Shu Wang, Yunqiang Zhu, Yanmin Qi, Zhiwei Hou, Kai Sun, Weirong Li, Lei Hu, Jie Yang, and Hairong Lv · 2022
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Language model for earth science: Exploring potential downstream applications as well as current challenges
Rahul Ramachandran, Muthukumaran Ramasubramanian, Pravesh Koirala, Iksha Gurung, and Manil Maskey · 2022
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What is this article about? generative summarization with the bert model in the geosciences domain
Kai Ma, Miao Tian, Yongjian Tan, Xuejing Xie, and Qinjun Qiu · 2022
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Galactica: A large language model for science
Ross Taylor, Marcin Kardas, Guillem Cucurull, Thomas Scialom, Anthony S. Hartshorn, Elvis Saravia, Andrew Poulton, Viktor Kerkez, and Robert Stojnic · 2022
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Glm-130b: An open bilingual pre-trained model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, P. Zhang, Yuxiao Dong, and Jie Tang · 2022
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Application of machine learning for lithofacies prediction and cluster analysis approach to identify rock type
Mazahir Hussain, Shuang Liu, Umar Ashraf, Muhammad Ali, Wakeel Hussain, Nafees Ali, and Aqsa Anees · 2022
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A new correlation for calculating wellhead oil flow rate using artificial neural network
Reda Abdel Azim · 2022
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Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Le Zhou, Luoyi Fu, Weinan Zhang, Xinbing Wang, Cheng Zhou, Zhouhan Lin, and Junxian He · 2023
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Toward earthquake early warning: A convolutional neural network for repaid earthquake magnitude estimation
Fanchun Meng, Tao Ren, Zhenxian Liu, and Zhida Zhong · 2023
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Unsupervised pre-stack seismic facies analysis constrained by spatial continuity
Yifeng Fei, Hanpeng Cai, Junhui Yang, Jiandong Liang, and Guang Hu · 2023
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Machine learning elucidates the anatomy of buried carbonate reef from seismic reflection data
Priyadarshi Chinmoy Kumar and Kalachand Sain · 2023
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Application of machine learning in carbon capture and storage: An in-depth insight from the perspective of geoscience
Peiyi Yao, Ziwang Yu, Yanjun Zhang, and Tianfu Xu · 2023
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Prediction of geology condition for slurry pressure balanced shield tunnel with super-large diameter by machine learning algorithms
Deming Xu, Yusheng Wang, Jingqi Huang, Sijin Liu, Shujun Xu, and Kun Zhou · 2023
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Construction and application of a knowledge graph for iron deposits using text mining analytics and a deep learning algorithm
Qinjun Qiu, Kai Ma, Hairong Lv, Liufeng Tao, and Zhong Xie · 2023
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Bloomberggpt: A large language model for finance
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Darwin series: Domain specific large language models for natural science
Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, W. Zhang, Imran Razzak, and Bram Hoex · 2023
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Geogpt: Understanding and processing geospatial tasks through an autonomous gpt
Yifan Zhang, Cheng Wei, Shangyou Wu, Zhengting He, and Wenhao Yu · 2023
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Impressiongpt: an iterative optimizing framework for radiology report summarization with chatgpt
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Soft prompt tuning for augmenting dense retrieval with large language models
Zhiyuan Peng, Xuyang Wu, and Yi Fang · 2023
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History of artificial neural networks
wikipedia · 2023
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https://github.com/kermitt2/grobid , 2008–2023
Grobid: A machine learning software for extracting information from scholarly documents · 2023
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Stanford alpaca: An instruction-following llama model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto · 2023
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Baize: An open-source chat model with parameter-efficient tuning on self-chat data
Canwen Xu, Daya Guo, Nan Duan, and Julian McAuley · 2023
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Radiology-gpt: A large language model for radiology
Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, et al · 2023
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Toolllm: Facilitating large language models to master 16000+ real-world apis
Yujia Qin, Shi Liang, Yining Ye, Kunlun Zhu, Lan Yan, Ya-Ting Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Marc H. Gerstein, Dahai Li, Zhiyuan Liu, and Maosong Sun · 2023
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