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Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations.

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Adding BDI agents to MATSim traffic simulator., , , and . AAMAS, page 1637-1638. IFAAMAS/ACM, (2014)Agent-Based Simulation of Rural Areas and Agriculture Information of 11 Country Units in Shandong Province., , , and . CCTA (1), volume 419 of IFIP Advances in Information and Communication Technology, page 117-122. Springer, (2013)BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale., , , , , and . CoRR, (2019)Surface Deformation Associated with the 22 August 1902 Mw 7.7 Atushi Earthquake in the Southwestern Tian Shan, Revealed from Multiple Remote Sensing Data., , , and . Remote. Sens., 14 (7): 1663 (2022)BioSentVec: creating sentence embeddings for biomedical texts., , and . ICHI, page 1-5. IEEE, (2019)Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning., , , , , , , , and . CoRR, (2023)MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing., , , , , , , , , and 6 other author(s). CoRR, (2023)Yale at "Discharge Me!": Evaluating Constrained Generation of Discharge Summaries with Unstructured and Structured Information., , , , , , and . BioNLP@ACL, page 724-730. Association for Computational Linguistics, (2024)Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations, , , , , , , , , and 28 other author(s). (2022)cite arxiv:2204.09781.Bioformer: an efficient transformer language model for biomedical text mining., , , , and . CoRR, (2023)