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Large Language Models (LLMs) are increasingly adopted for applications in healthcare, reaching the performance of domain experts on tasks such as question answering and document summarisation.
Meddialog: A large-scale medical dialogue dataset
Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, and Pengtao Xie. 2020 · 2004
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GENETAG: a tagged corpus for gene/protein named entity recognition
Lorraine Tanabe, Natalie Xie, Lynne H Thom, Wayne Matten, and W John Wilbur. 2005 · 2005
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Beyond surface characteristics: a new health text-specific readability measurement
Hyeoneui Kim, Sergey Goryachev, Graciela Rosemblat, Allen Browne, Alla Keselman, and Qing Zeng-Treitler. 2007 · 2007
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Bioinfer: a corpus for information extraction in the biomedical domain
Sampo Pyysalo, Filip Ginter, Juho Heimonen, Jari Bj"orne, Jorma Boberg, Jouni J"arvinen, and Tapio Salakoski. 2007 · 2007
Earlier work this paper cites.
Overview of BioNLP’09 shared task on event extraction
Jin-Dong Kim, Tomoko Ohta, Sampo Pyysalo, Yoshinobu Kano, and Jun’ichi Tsujii. 2009 · 2009
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Static relations: a piece in the biomedical information extraction puzzle
Sampo Pyysalo, Tomoko Ohta, Jin-Dong Kim, and Jun’ichi Tsujii. 2009 · 2009
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Applying ontology design patterns to the implementation of relations in genia
Robert Hoehndorf, Axel cyrille Ngonga Ngomo, Sampo Pyysalo, Tomoko Ohta, Anika Oellrich, and Dietrich Rebholz-schuhmann. 2010 · 2010
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A reevaluation of biomedical named entity - term relations
Tomoko Ohta, Sampo Pyysalo, Jin-Dong Kim, and Jun’ichi Tsujii. 2010 · 2010
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Overview of the entity relations (rel) supporting task of bionlp shared task 2011
Sampo Pyysalo, Tomoko Ohta, and Jun’ichi Tsujii. 2011 · 2011
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Open-domain anatomical entity mention detection
Tomoko Ohta, Sampo Pyysalo, Jun’ichi Tsujii, and Sophia Ananiadou. 2012 · 2012
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Event extraction across multiple levels of biological organization
Sampo Pyysalo, Tomoko Ohta, Makoto Miwa, Han-Cheol Cho, Jun’ichi Tsujii, and Sophia Ananiadou. 2012 · 2012
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Clinical corpus annotation: challenges and strategies
Fei Xia and Meliha Yetisgen-Yildiz. 2012 · 2012
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Effects of time constraints on clinician–computer interaction: a study on information synthesis from ehr clinical notes
Oladimeji Farri, Karen A Monsen, Serguei V Pakhomov, David S Pieczkiewicz, Stuart M Speedie, and Genevieve B Melton. 2013 · 2013
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GRO task: Populating the gene regulation ontology with events and relations
Jung-jae Kim, Xu Han, Vivian Lee, and Dietrich Rebholz-Schuhmann. 2013 · 2013
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Overview of the pathway curation (PC) task of BioNLP shared task 2013
Tomoko Ohta, Sampo Pyysalo, Rafal Rak, Andrew Rowley, Hong-Woo Chun, Sung-Jae Jung, Sung-Pil Choi, Sophia Ananiadou, and Jun’ichi Tsujii. 2013 · 2013
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Overview of the cancer genetics (CG) task of BioNLP shared task 2013
Sampo Pyysalo, Tomoko Ohta, and Sophia Ananiadou. 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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Attribute-based classification for zero-shot visual object categorization
Christoph H. Lampert, Hannes Nickisch, and Stefan Harmeling. 2014 · 2014
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Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research
Àlex Bravo, Janet Piñero, Núria Queralt-Rosinach, Michael Rautschka, and Laura I Furlong. 2015 · 2015
Earlier work this paper cites.
Chemdner: The drugs and chemical names extraction challenge
Martin Krallinger, Florian Leitner, Obdulia Rabal, Miguel Vazquez, Julen Oyarzabal, and Alfonso Valencia. 2015 · 2015
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Ntcir13 medweb task: multi-label classification of tweets using an ensemble of neural networks
Hayate Iso, Camille Ruiz, Taichi Murayama, Katsuya Taguchi, Ryo Takeuchi, Hideya Yamamoto, Shoko Wakamiya, and Eiji Aramaki. 2017 · 2017
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CAS: French corpus with clinical cases
Natalia Grabar, Vincent Claveau, and Cl’ement Dalloux. 2018 · 2018
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A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature
Benjamin Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain Marshall, Ani Nenkova, and Byron Wallace. 2018 · 2018
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Assessing the readability of medical documents: a ranking approach
Jiaping Zheng, Hong Yu, et al. 2018 · 2018
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Structural scaffolds for citation intent classification in scientific publications
Arman Cohan, Waleed Ammar, Madeleine van Zuylen, and Field Cady. 2019 · 2019
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Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Earlier work this paper cites.
A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications
Maryam Zolnoori, Kin Wah Fung, Timothy B. Patrick, Paul Fontelo, Hadi Kharrazi, Anthony Faiola, Yi Shuan Shirley Wu, Christina E. Eldredge, Jake Luo, Mike Conway, Jiaxi Zhu, Soo Kyung Park, Kelly Xu, Hamideh Moayyed, and Somaieh Goudarzvand. 2019 · 2019
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020 · 2020
Earlier work this paper cites.
Overview of the biocreative vii litcovid track: multi-label topic classification for covid-19 literature annotation
Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Doğan, and Zhiyong Lu. 2021 · 2021
Cited alongside, same era.
Medtag: a portable and customizable annotation tool for biomedical documents
Fabio Giachelle, Ornella Irrera, and Gianmaria Silvello. 2021 · 2021
Cited alongside, same era.
Biomedical named entity recognition at scale
Veysel Kocaman and David Talby. 2021 · 2021
Cited alongside, same era.
A review of author name disambiguation techniques for the pubmed bibliographic database
Debarshi Kumar Sanyal, Plaban Kumar Bhowmick, and Partha Pratim Das. 2021 · 2021
Cited alongside, same era.
Locate and label: A two-stage identifier for nested named entity recognition
Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, and Weiming Lu. 2021 · 2021
Cited alongside, same era.
Retrieval-augmented few-shot text classification
Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, and Xiang Ao. 2023 · 2023
Later among the works it cites.
Universalner: Targeted distillation from large language models for open named entity recognition
Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, and Hoifung Poon. 2023 · 2023
Later among the works it cites.
What drives performance in multilingual language models?
Sina Bagheri Nezhad and Ameeta Agrawal. 2024 · 2024
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Biomedlm: A 2.7 b parameter language model trained on biomedical text
Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, Jonathan Frankle, Percy Liang, Michael Carbin, et al. 2024 · 2024
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Geokhoj v1
Inc. Elucidata. 2022 · 2022
Cited alongside, same era.
Dataset debt in biomedical language modeling
Jason Alan Fries, Natasha Seelam, Gabriel Altay, Leon Weber, Myungsun Kang, Debajyoti Datta, Ruisi Su, Samuele Garda, Bo Wang, Simon Ott, et al. 2022b · 2022
Cited alongside, same era.
Thinking about GPT-3 in-context learning for biomedical ie? think again
Bernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, You Chen, Lang Li, Huan Sun, and Yu Su. 2022 · 2022
Cited alongside, same era.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
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 · 2022
Cited alongside, same era.
Generative AI text classification using ensemble LLM approaches
Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, and Sanmitra Bhattacharya. 2023 · 2023
Cited alongside, same era.
Role of chat gpt in public health
Som S Biswas. 2023 · 2023
Cited alongside, same era.
Aviv Brokman and Ramakanth Kavuluru. 2024 · 2024
Closest in time.
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, and Hervé Jégou. 2024 · 2024
Closest in time.
Evaluation of large language model performance on the biomedical language understanding and reasoning benchmark
Hui Feng, Francesco Ronzano, Jude LaFleur, Matthew Garber, Rodrigo de Oliveira, Kathryn Rough, Katharine Roth, Jay Nanavati, Khaldoun Zine El Abidine, and Christina Mack. 2024 · 2024
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Scaling laws for multilingual language models
Yifei He, Alon Benhaim, Barun Patra, Praneetha Vaddamanu, Sanchit Ahuja, Parul Chopra, Vishrav Chaudhary, Han Zhao, and Xia Song. 2024 · 2024
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Olaph: Improving factuality in biomedical long-form question answering
Minbyul Jeong, Hyeon Hwang, Chanwoong Yoon, Taewhoo Lee, and Jaewoo Kang. 2024 · 2024
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Medreadme: A systematic study for fine-grained sentence readability in medical domain
Chao Jiang and Wei Xu. 2024 · 2024
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Biomistral: A collection of open-source pretrained large language models for medical domains
Yanis Labrak, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier, and Richard Dufour. 2024 · 2024
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Rt: a retrieving and chain-of-thought framework for few-shot medical named entity recognition
Mingchen Li, Huixue Zhou, Han Yang, and Rui Zhang. 2024 · 2024
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Uncertainty estimation and quantification for llms: A simple supervised approach
Linyu Liu, Yu Pan, Xiaocheng Li, and Guanting Chen. 2024 · 2024
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K-QA: A real-world medical q&a benchmark
Itay Manes, Naama Ronn, David Cohen, Ran Ilan Ber, Zehavi Horowitz-Kugler, and Gabriel Stanovsky. 2024 · 2024
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On-the-fly definition augmentation of llms for biomedical ner
Monica Munnangi, Sergey Feldman, Byron C Wallace, Silvio Amir, Tom Hope, and Aakanksha Naik. 2024 · 2024
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umedsum: A unified framework for advancing medical abstractive summarization
Aishik Nagar, Yutong Liu, Andy T Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, and Robby T Tan. 2024 · 2024
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Description boosting for zero-shot entity and relation classification
Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, and Hoang Thanh Lam. 2024 · 2024
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Medadapter: Efficient test-time adaptation of large language models towards medical reasoning
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, and May D. Wang. 2024 · 2024
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Yiping Song, Juhua Zhang, Zhiliang Tian, Yuxin Yang, Minlie Huang, and Dongsheng Li. 2024 · 2024
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Functional benchmarks for robust evaluation of reasoning performance, and the reasoning gap
Saurabh Srivastava, Anto PV, Shashank Menon, Ajay Sukumar, Alan Philipose, Stevin Prince, Sooraj Thomas, et al. 2024 · 2024
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M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering
Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, and Stefan Winkler. 2024 · 2024
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Adapted large language models can outperform medical experts in clinical text summarization
Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, Eduardo Pontes Reis, Anna Seehofnerová, et al. 2024 · 2024
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Marceli Wac, Raul Santos-Rodriguez, Chris McWilliams, and Christopher Bourdeaux. 2024 · 2024
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Chain-of-thought reasoning without prompting
Xuezhi Wang and Denny Zhou. 2024 · 2024
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Me llama: Foundation large language models for medical applications
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Keloth, et al. 2024 · 2024
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Benchmarking retrieval-augmented generation for medicine
Guangzhi Xiong, Qiao Jin, Zhiyong Lu, and Aidong Zhang. 2024 · 2024
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To believe or not to believe your llm
Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, and Csaba Szepesvári. 2024 · 2024
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In-context learning for few-shot nested named entity recognition
Meishan Zhang, Bin Wang, Hao Fei, and Min Zhang. 2024 · 2024
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