{"total":61,"rows":[{"id":"2309.14509","title":"DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models","created":"2023-09-25","cited_by_count":245,"area":null},{"id":"2302.08091","title":"Do We Still Need Clinical Language Models?","created":"2023-02-16","cited_by_count":98,"area":null},{"id":"2406.10833","title":"A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery","created":"2024-06-16","cited_by_count":96,"area":null},{"id":"2210.03304","title":"Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding","created":"2022-10-07","cited_by_count":40,"area":null},{"id":"2307.03042","title":"Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain","created":"2023-07-06","cited_by_count":38,"area":null},{"id":"2309.11295","title":"CPLLM: Clinical Prediction with Large Language Models","created":"2023-09-20","cited_by_count":34,"area":null},{"id":"2210.12156","title":"Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling","created":"2022-10-18","cited_by_count":33,"area":null},{"id":"2310.06239","title":"Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction","created":"2023-10-10","cited_by_count":32,"area":null},{"id":"2506.10896","title":"BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP","created":"2025-06-12","cited_by_count":28,"area":null},{"id":"2311.10798","title":"INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis","created":"2023-11-17","cited_by_count":27,"area":null},{"id":"2403.05795","title":"ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes","created":"2024-03-09","cited_by_count":22,"area":null},{"id":"2210.15144","title":"Gendered Mental Health Stigma in Masked Language Models","created":"2022-10-27","cited_by_count":18,"area":null},{"id":"2211.17135","title":"BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From Scratch?","created":"2022-11-30","cited_by_count":13,"area":null},{"id":"2310.07871","title":"Hierarchical Pretraining on Multimodal Electronic Health Records","created":"2023-10-11","cited_by_count":11,"area":null},{"id":"2401.01943","title":"Generalist embedding models are better at short-context clinical semantic search than specialized embedding models","created":"2024-01-03","cited_by_count":7,"area":null},{"id":"2401.17824","title":"A Survey of Pre-trained Language Models for Processing Scientific Text","created":"2024-01-31","cited_by_count":7,"area":null},{"id":"2408.16978","title":"Training Ultra Long Context Language Model with Fully Pipelined Distributed Transformer","created":"2024-08-30","cited_by_count":6,"area":null},{"id":"2206.10381","title":"TabText: Language-Based Representations of Tabular Health Data for Predictive Modelling","created":"2022-06-21","cited_by_count":5,"area":null},{"id":"2212.05857","title":"Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models","created":"2022-12-12","cited_by_count":5,"area":null},{"id":"2404.01589","title":"Classifying Cancer Stage with Open-Source Clinical Large Language Models","created":"2024-04-02","cited_by_count":5,"area":null},{"id":"2407.12117","title":"MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training","created":"2024-07-16","cited_by_count":5,"area":null},{"id":"2209.01174","title":"Extend and Explain: Interpreting Very Long Language Models","created":"2022-09-02","cited_by_count":4,"area":null},{"id":"2404.06723","title":"Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision","created":"2024-04-10","cited_by_count":4,"area":null},{"id":"2412.17803","title":"Examining Imbalance Effects on Performance and Demographic Fairness of Clinical Language Models","created":"2024-12-23","cited_by_count":4,"area":null},{"id":"2503.18085","title":"Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach","created":"2025-03-23","cited_by_count":4,"area":null},{"id":"2303.08038","title":"Progress Note Understanding -- Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task","created":"2023-03-14","cited_by_count":3,"area":null},{"id":"2311.09564","title":"LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks","created":"2023-11-16","cited_by_count":3,"area":null},{"id":"2403.04012","title":"Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records","created":"2024-03-06","cited_by_count":3,"area":null},{"id":"2405.18553","title":"FAIIR: Building Toward A Conversational AI Agent Assistant for Youth Mental Health Service Provision","created":"2024-05-28","cited_by_count":3,"area":null},{"id":"2211.08429","title":"An Automatic ICD Coding Network Using Partition-Based Label Attention","created":"2022-11-15","cited_by_count":2,"area":null},{"id":"2309.10066","title":"Automatic Personalized Impression Generation for PET Reports Using Large Language Models","created":"2023-09-18","cited_by_count":2,"area":null},{"id":"2311.12474","title":"CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews","created":"2023-11-21","cited_by_count":2,"area":null},{"id":"2505.10780","title":"SECRET: Semi-supervised Clinical Trial Document Similarity Search","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2511.11935","title":"SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysis","created":"2025-11-14","cited_by_count":2,"area":null},{"id":"2307.02094","title":"DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications","created":"2023-07-05","cited_by_count":1,"area":null},{"id":"2307.07051","title":"Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section","created":"2023-07-13","cited_by_count":1,"area":null},{"id":"2403.19790","title":"Bespoke Large Language Models for Digital Triage Assistance in Mental Health Care","created":"2024-03-28","cited_by_count":1,"area":null},{"id":"2405.06802","title":"Summarizing Radiology Reports Findings into Impressions","created":"2024-05-10","cited_by_count":1,"area":null},{"id":"2411.00609","title":"Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for Improving the Explainability of Pediatric Brain Tumor Diagnosis","created":"2024-11-01","cited_by_count":1,"area":null},{"id":"2412.11477","title":"NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text","created":"2024-12-16","cited_by_count":1,"area":null},{"id":"2502.15996","title":"Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts","created":"2025-02-21","cited_by_count":1,"area":null},{"id":"2503.24006","title":"Comparing representations of long clinical texts for the task of patient note-identification","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2505.17643","title":"Bridging Electronic Health Records and Clinical Texts: Contrastive Learning for Enhanced Clinical Tasks","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2511.01052","title":"Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports","created":"2025-11-02","cited_by_count":1,"area":null},{"id":"2511.15847","title":"Transparent Early ICU Mortality Prediction with Clinical Transformer and Per-Case Modality Attribution","created":"2025-11-19","cited_by_count":1,"area":null},{"id":"2311.01571","title":"On Preserving the Knowledge of Long Clinical Texts","created":"2023-11-02","cited_by_count":0,"area":null},{"id":"2312.03567","title":"XAIQA: Explainer-Based Data Augmentation for Extractive Question Answering","created":"2023-12-06","cited_by_count":0,"area":null},{"id":"2407.04125","title":"Query-Guided Self-Supervised Summarization of Nursing Notes","created":"2024-07-04","cited_by_count":0,"area":null},{"id":"2407.04466","title":"Using LLMs to label medical papers according to the CIViC evidence model","created":"2024-07-05","cited_by_count":0,"area":null},{"id":"2506.11478","title":"ImmunoFOMO: Are Language Models missing what oncologists see?","created":"2025-06-13","cited_by_count":0,"area":null},{"id":"2507.21302","title":"Can human clinical rationales improve the performance and explainability of clinical text classification models?","created":"2025-07-28","cited_by_count":0,"area":null},{"id":"2507.23607","title":"Deep Learning-based Prediction of Clinical Trial Enrollment with Uncertainty Estimates","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2509.19224","title":"Systematic Comparative Analysis of Large Pretrained Language Models on Contextualized Medication Event Extraction","created":"2025-09-23","cited_by_count":0,"area":null},{"id":"2511.22199","title":"PULSE-ICU: A Pretrained Unified Long-Sequence Encoder for Multi-task Prediction in Intensive Care Units","created":"2025-11-27","cited_by_count":0,"area":null},{"id":"2512.05537","title":"Automated Identification of Incidentalomas Requiring Follow-Up: A Multi-Anatomy Evaluation of LLM-Based and Supervised Approaches","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2601.05648","title":"Open World Knowledge Aided Single-Cell Foundation Model with Robust Cross-Modal Cell-Language Pre-training","created":"2026-01-09","cited_by_count":0,"area":null},{"id":"2604.04614","title":"A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2607.14995","title":"Multimodal Semantic-Aware Contrastive Learning For False Negative Mitigation in 3D Medical Imaging","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2607.15447","title":"LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2608.21941","title":"Multimodal Prompt Learning with Irregular EHRs for Robust Monitoring of Critical Care Patients","created":"2026-08-22","cited_by_count":0,"area":null},{"id":"2610.04263","title":"Multimodal Dual-Encoder Retrieval for Automated ICD Coding","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}