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Recently, Large Language Models (LLM) have demonstrated impressive capability to solve a wide range of tasks.
Publicly available clinical bert embeddings
Emily Alsentzer, John R Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, and Matthew McDermott. 2019 · 1904
Earlier work this paper cites.
RoBERTa: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Pubmedqa: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W Cohen, and Xinghua Lu. 2019 · 1909
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
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Reinforcement learning: A survey
Leslie Pack Kaelbling, Michael L Littman, and Andrew W Moore. 1996 · 1996
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Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan. 2020 · 2004
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Introduction to the bio-entity recognition task at jnlpba
Nigel Collier and Jin-Dong Kim. 2004 · 2004
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Language models are few-shot learners
Tom B Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 2005
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A survey of current work in biomedical text mining
Aaron M Cohen and William R Hersh. 2005 · 2005
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York university at TREC 2005: Genomics track
Xiangji Huang, Ming Zhong, and Luo Si. 2005 · 2005
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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. 2020 · 2007
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Overview of biocreative ii gene mention recognition
Larry Smith, Lorraine K Tanabe, Cheng-Ju Kuo, I Chung, Chun-Nan Hsu, Yu-Shi Lin, Roman Klinger, Christoph M Friedrich, Kuzman Ganchev, Manabu Torii, et al. 2008 · 2008
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A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval
Xiangji Huang and Qinmin Hu. 2009 · 2009
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Linnaeus: a species name identification system for biomedical literature
Martin Gerner, Goran Nenadic, and Casey M Bergman. 2010 · 2010
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A survival modeling approach to biomedical search result diversification using wikipedia
Xiaoshi Yin, Jimmy Xiangji Huang, Xiaofeng Zhou, and Zhoujun Li. 2010 · 2010
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The ddi corpus: An annotated corpus with pharmacological substances and drug–drug interactions
María Herrero-Zazo, Isabel Segura-Bedmar, Paloma Martínez, and Thierry Declerck. 2013 · 2013
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The species and organisms resources for fast and accurate identification of taxonomic names in text
Evangelos Pafilis, Sune P Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, and Lars Juhl Jensen. 2013 · 2013
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Ncbi disease corpus: a resource for disease name recognition and concept normalization
Rezarta Islamaj Doğan, Robert Leaman, and Zhiyong Lu. 2014 · 2014
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The chemdner corpus of chemicals and drugs and its annotation principles
Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M Lowe, et al. 2015 · 2015
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Automatic semantic classification of scientific literature according to the hallmarks of cancer
Simon Baker, Ilona Silins, Yufan Guo, Imran Ali, Johan Högberg, Ulla Stenius, and Anna Korhonen. 2016 · 2016
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Biocreative v cdr task corpus: a resource for chemical disease relation extraction
Jiao Li, Yueping Sun, Robin J Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Thomas C Wiegers, and Zhiyong Lu. 2016 · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Overview of microrna biogenesis, mechanisms of actions, and circulation
Jacob O’Brien, Heyam Hayder, Yara Zayed, and Chun Peng. 2018 · 2018
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A survey on recent advances in named entity recognition from deep learning models
Vikas Yadav and Steven Bethard. 2018 · 2018
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On the summarization of consumer health questions
Asma Ben Abacha and Dina Demner-Fushman. 2019 · 2019
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Overview of the mediqa 2019 shared task on textual inference, question entailment and question answering
Asma Ben Abacha, Chaitanya Shivade, and Dina Demner-Fushman. 2019 · 2019
Earlier work this paper cites.
Scibert: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
Earlier work this paper cites.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 2019
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Wnt/ β \beta -catenin signalling in ovarian cancer: Insights into its hyperactivation and function in tumorigenesis
Vu Hong Loan Nguyen, Rebecca Hough, Stefanie Bernaudo, and Chun Peng. 2019 · 2019
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Transfer learning in biomedical natural language processing: An evaluation of bert and elmo on ten benchmarking datasets
Yifan Peng, Shankai Yan, and Zhiyong Lu. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
A survey of zero-shot learning: Settings, methods, and applications
Wei Wang, Vincent W Zheng, Han Yu, and Chunyan Miao. 2019 · 2019
Cited alongside, same era.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
Cited alongside, same era.
COMETA: A corpus for medical entity linking in the social media
Marco Basaldella, Fangyu Liu, Ehsan Shareghi, and Nigel Collier. 2020 · 2020
Cited alongside, same era.
Document classification for covid-19 literature
Ammu: a survey of transformer-based biomedical pretrained language models
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, and Sivanesan Sangeetha. 2022 · 2022
Later among the works it cites.
Blink with elasticsearch for efficient entity linking in business conversations
Md Tahmid Rahman Laskar, Cheng Chen, Aliaksandr Martsinovich, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan Tn, and Simon Corston-Oliver. 2022b · 2022
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Readability controllable biomedical document summarization
Zheheng Luo, Qianqian Xie, and Sophia Ananiadou. 2022b · 2022
Later among the works it cites.
Generative machine learning for de novo drug discovery: A systematic review
Dominic D Martinelli. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Bernal Jiménez Gutiérrez, Jucheng Zeng, Dongdong Zhang, Ping Zhang, and Yu Su. 2020 · 2020
Cited alongside, same era.
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, and James Caverlee. 2020 · 2020
Cited alongside, same era.
Contextualized embeddings based transformer encoder for sentence similarity modeling in answer selection task
Md Tahmid Rahman Laskar, Xiangji Huang, and Enamul Hoque. 2020 · 2020
Cited alongside, same era.
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. 2020 · 2020
Cited alongside, same era.
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, Peter J Liu, et al. 2020 · 2020
Cited alongside, same era.
Question-driven summarization of answers to consumer health questions
Max Savery, Asma Ben Abacha, Soumya Gayen, and Dina Demner-Fushman. 2020 · 2020
Cited alongside, same era.
Meddialog: Large-scale medical dialogue datasets
Guangtao Zeng, Wenmian Yang, Zeqian Ju, Yue Yang, Sicheng Wang, Ruisi Zhang, Meng Zhou, Jiaqi Zeng, Xiangyu Dong, Ruoyu Zhang, et al. 2020 · 2020
Cited alongside, same era.
A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence
Sanjeevi Pandiyan and Li Wang. 2022 · 2022
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An overview of progress from empirical to rational design in modern vaccine development, with an emphasis on computational tools and immunoinformatics approaches
Safoura Soleymani, Amin Tavassoli, and Mohammad Reza Housaindokht. 2022 · 2022
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PRIMERA: Pyramid-based masked sentence pre-training for multi-document summarization
Wen Xiao, Iz Beltagy, Giuseppe Carenini, and Arman Cohan. 2022 · 2022
Later among the works it cites.
Generative biomedical entity linking via knowledge base-guided pre-training and synonyms-aware fine-tuning
Hongyi Yuan, Zheng Yuan, and Sheng Yu. 2022b · 2022
Later among the works it cites.
Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al. 2023 · 2023
Closest in time.
Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, et al. 2023 · 2023
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Biolaysumm 2023 shared task: Lay summarisation of biomedical research articles
Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, and Chenghua Lin. 2023 · 2023
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Evaluation of ChatGPT on biomedical tasks: A zero-shot comparison with fine-tuned generative transformers
Israt Jahan, Md Tahmid Rahman Laskar, Chun Peng, and Jimmy Huang. 2023 · 2023
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Privacy-preserving artificial intelligence in healthcare: Techniques and applications
Nazish Khalid, Adnan Qayyum, Muhammad Bilal, Ala Al-Fuqaha, and Junaid Qadir. 2023 · 2023
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A systematic study and comprehensive evaluation of ChatGPT on benchmark datasets
Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, Md Amran Hossen Bhuiyan, Shafiq Joty, and Jimmy Huang. 2023a · 2023
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Building real-world meeting summarization systems using large language models: A practical perspective
Md Tahmid Rahman Laskar, Xue-Yong Fu, Cheng Chen, and Shashi Bhushan Tn. 2023b · 2023
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Task contamination: Language models may not be few-shot anymore
Changmao Li and Jeffrey Flanigan. 2023 · 2023
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Fsm-ddtr: End-to-end feedback strategy for multi-objective de novo drug design using transformers
Nelson RC Monteiro, Tiago O Pereira, Ana Catarina D Machado, José L Oliveira, Maryam Abbasi, and Joel P Arrais. 2023 · 2023
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Med-flamingo: a multimodal medical few-shot learner
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, and Pranav Rajpurkar. 2023 · 2023
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OpenAI. 2023 · 2023
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Enriching biomedical knowledge for low-resource language through large-scale translation
Long Phan, Tai Dang, Hieu Tran, Trieu Trinh, Vy Phan, Lam Chau, and Minh-Thang Luong. 2023 · 2023
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Is chatgpt a general-purpose natural language processing task solver?
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, and Diyi Yang. 2023 · 2023
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Csiro data61 team at biolaysumm task 1: Lay summarisation of biomedical research articles using generative models
Mong Yuan Sim, Xiang Dai, Maciej Rybinski, and Sarvnaz Karimi. 2023 · 2023
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Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al. 2023 · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al. 2023 · 2023
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Exploring the limits of chatgpt for query or aspect-based text summarization
Xianjun Yang, Yan Li, Xinlu Zhang, Haifeng Chen, and Wei Cheng. 2023 · 2023
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A comprehensive capability analysis of gpt-3 and gpt-3.5 series models
Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, et al. 2023 · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al. 2023 · 2023
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Xue-Yong Fu, Md Tahmid Rahman Laskar, Elena Khasanova, Cheng Chen, and Shashi Bhushan TN. 2024 · 2024
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