{"total":21,"rows":[{"id":"2203.03540","title":"GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records","created":"2022-02-02","cited_by_count":238,"area":null},{"id":"2210.03050","title":"State-of-the-art generalisation research in NLP: A taxonomy and review","created":"2022-10-06","cited_by_count":98,"area":null},{"id":"2201.11838","title":"Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences","created":"2022-01-27","cited_by_count":69,"area":null},{"id":"2308.14089","title":"MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records","created":"2023-08-27","cited_by_count":56,"area":null},{"id":"2102.05281","title":"Biomedical Question Answering: A Survey of Approaches and Challenges","created":"2021-02-10","cited_by_count":46,"area":null},{"id":"2301.11847","title":"A Comparative Study of Pretrained Language Models for Long Clinical Text","created":"2023-01-27","cited_by_count":35,"area":null},{"id":"2402.16040","title":"EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries","created":"2024-02-25","cited_by_count":35,"area":null},{"id":"2303.12961","title":"The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs","created":"2023-03-22","cited_by_count":29,"area":null},{"id":"2204.10555","title":"KALA: Knowledge-Augmented Language Model Adaptation","created":"2022-04-22","cited_by_count":21,"area":null},{"id":"2308.03253","title":"PaniniQA: Enhancing Patient Education Through Interactive Question Answering","created":"2023-08-07","cited_by_count":21,"area":null},{"id":"2206.02696","title":"Learning to Ask Like a Physician","created":"2022-06-06","cited_by_count":16,"area":null},{"id":"2112.05780","title":"A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing","created":"2021-12-07","cited_by_count":10,"area":null},{"id":"2305.12945","title":"ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination","created":"2023-05-22","cited_by_count":10,"area":null},{"id":"2310.08759","title":"Question Answering for Electronic Health Records: A Scoping Review of datasets and models","created":"2023-10-12","cited_by_count":7,"area":null},{"id":"2203.10839","title":"TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing","created":"2022-03-21","cited_by_count":6,"area":null},{"id":"2201.02517","title":"Development of an Extractive Clinical Question Answering Dataset with Multi-Answer and Multi-Focus Questions","created":"2022-01-07","cited_by_count":3,"area":null},{"id":"2406.00014","title":"KU-DMIS at EHRSQL 2024:Generating SQL query via question templatization in EHR","created":"2024-05-22","cited_by_count":3,"area":null},{"id":"2112.02992","title":"Towards More Robust Natural Language Understanding","created":"2021-12-01","cited_by_count":2,"area":null},{"id":"2211.04569","title":"Toward a Neural Semantic Parsing System for EHR Question Answering","created":"2022-11-08","cited_by_count":1,"area":null},{"id":"2212.05251","title":"A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks","created":"2022-12-10","cited_by_count":1,"area":null},{"id":"2310.13146","title":"CLIFT: Analysing Natural Distribution Shift on Question Answering Models in Clinical Domain","created":"2023-10-19","cited_by_count":0,"area":null}],"next_cursor":null}