{"total":211,"rows":[{"id":"2212.13138","title":"Large Language Models Encode Clinical Knowledge","created":"2022-12-26","cited_by_count":1830,"area":null},{"id":"2211.09085","title":"Galactica: A Large Language Model for Science","created":"2022-11-16","cited_by_count":744,"area":null},{"id":"2210.10341","title":"BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining","created":"2022-10-19","cited_by_count":538,"area":null},{"id":"2307.15189","title":"Med-Flamingo: a Multimodal Medical Few-shot Learner","created":"2023-07-27","cited_by_count":392,"area":null},{"id":"2305.09617","title":"Towards Expert-Level Medical Question Answering with Large Language Models","created":"2023-05-16","cited_by_count":384,"area":null},{"id":"2311.16452","title":"Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine","created":"2023-11-28","cited_by_count":329,"area":null},{"id":"2307.03393","title":"Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs","created":"2023-07-07","cited_by_count":274,"area":null},{"id":"2301.00785","title":"CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection","created":"2023-01-02","cited_by_count":224,"area":null},{"id":"2207.08143","title":"Can large language models reason about medical questions?","created":"2022-07-17","cited_by_count":194,"area":"lr"},{"id":"2312.02783","title":"Large Language Models on Graphs: A Comprehensive Survey","created":"2023-12-05","cited_by_count":192,"area":null},{"id":"2501.00309","title":"Retrieval-Augmented Generation with Graphs (GraphRAG)","created":"2024-12-31","cited_by_count":172,"area":"rag"},{"id":"2310.05694","title":"A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics","created":"2023-10-09","cited_by_count":163,"area":null},{"id":"2210.09338","title":"Deep Bidirectional Language-Knowledge Graph Pretraining","created":"2022-10-17","cited_by_count":156,"area":null},{"id":"2210.14709","title":"Learning on Large-scale Text-attributed Graphs via Variational Inference","created":"2022-10-26","cited_by_count":155,"area":null},{"id":"2211.13308","title":"SciRepEval: A Multi-Format Benchmark for Scientific Document Representations","created":"2022-11-23","cited_by_count":129,"area":null},{"id":"2211.12561","title":"Retrieval-Augmented Multimodal Language Modeling","created":"2022-11-22","cited_by_count":125,"area":"mllm"},{"id":"2311.05112","title":"A Survey of Large Language Models in Medicine: Progress, Application, and Challenge","created":"2023-11-09","cited_by_count":124,"area":null},{"id":"2310.01714","title":"Large Language Models as Analogical Reasoners","created":"2023-10-03","cited_by_count":107,"area":"lr"},{"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":"2408.04187","title":"Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation","created":"2024-08-08","cited_by_count":90,"area":"rag"},{"id":"2403.18421","title":"BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text","created":"2024-03-27","cited_by_count":86,"area":null},{"id":"2401.14656","title":"Scientific Large Language Models: A Survey on Biological & Chemical Domains","created":"2024-01-26","cited_by_count":80,"area":null},{"id":"2310.10638","title":"In-context Pretraining: Language Modeling Beyond Document Boundaries","created":"2023-10-16","cited_by_count":79,"area":null},{"id":"2307.15051","title":"Matching Patients to Clinical Trials with Large Language Models","created":"2023-07-27","cited_by_count":69,"area":null},{"id":"2410.09102","title":"Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy","created":"2024-10-09","cited_by_count":67,"area":"safety"},{"id":"2305.18395","title":"Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks","created":"2023-05-28","cited_by_count":64,"area":"lr"},{"id":"2309.15427","title":"Graph Neural Prompting with Large Language Models","created":"2023-09-27","cited_by_count":64,"area":null},{"id":"2303.11568","title":"Large AI Models in Health Informatics: Applications, Challenges, and the Future","created":"2023-03-21","cited_by_count":61,"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":"2305.12268","title":"Patton: Language Model Pretraining on Text-Rich Networks","created":"2023-05-20","cited_by_count":49,"area":null},{"id":"2307.14901","title":"Text-guided Foundation Model Adaptation for Pathological Image Classification","created":"2023-07-27","cited_by_count":47,"area":null},{"id":"2209.07562","title":"TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter","created":"2022-09-15","cited_by_count":45,"area":null},{"id":"2406.10727","title":"Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights","created":"2024-06-15","cited_by_count":44,"area":null},{"id":"2503.22678","title":"Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions","created":"2025-03-28","cited_by_count":40,"area":"agents"},{"id":"2501.05435","title":"Neuro-Symbolic AI in 2024: A Systematic Review","created":"2025-01-09","cited_by_count":38,"area":null},{"id":"2206.15076","title":"BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing","created":"2022-06-30","cited_by_count":36,"area":null},{"id":"2306.12587","title":"ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews","created":"2023-06-21","cited_by_count":34,"area":null},{"id":"2305.14321","title":"ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings","created":"2023-05-23","cited_by_count":32,"area":null},{"id":"2402.17887","title":"JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability","created":"2024-02-27","cited_by_count":32,"area":"lr"},{"id":"2304.10668","title":"Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs","created":"2023-04-20","cited_by_count":29,"area":null},{"id":"2305.15387","title":"Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering","created":"2023-05-24","cited_by_count":28,"area":null},{"id":"2310.15109","title":"GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs","created":"2023-10-23","cited_by_count":28,"area":null},{"id":"2401.02458","title":"Data-Centric Foundation Models in Computational Healthcare: A Survey","created":"2024-01-04","cited_by_count":27,"area":null},{"id":"2406.12072","title":"DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs","created":"2024-06-17","cited_by_count":27,"area":null},{"id":"2311.12410","title":"nach0: Multimodal Natural and Chemical Languages Foundation Model","created":"2023-11-21","cited_by_count":26,"area":null},{"id":"2405.19366","title":"ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text","created":"2024-05-26","cited_by_count":26,"area":null},{"id":"2208.14565","title":"Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning","created":"2022-08-30","cited_by_count":24,"area":null},{"id":"2205.02007","title":"A Computational Inflection for Scientific Discovery","created":"2022-05-04","cited_by_count":23,"area":null},{"id":"2405.13179","title":"RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts","created":"2024-05-21","cited_by_count":23,"area":"rag"},{"id":"2309.00087","title":"Large language models in medicine: the potentials and pitfalls","created":"2023-08-31","cited_by_count":21,"area":null},{"id":"2402.13253","title":"BiMediX: Bilingual Medical Mixture of Experts LLM","created":"2024-02-20","cited_by_count":21,"area":null},{"id":"2302.09170","title":"KILM: Knowledge Injection into Encoder-Decoder Language Models","created":"2023-02-17","cited_by_count":19,"area":null},{"id":"2305.13693","title":"Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations","created":"2023-05-23","cited_by_count":18,"area":null},{"id":"2404.09135","title":"Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions","created":"2024-04-14","cited_by_count":18,"area":null},{"id":"2301.12292","title":"Zero-shot causal learning","created":"2023-01-28","cited_by_count":17,"area":null},{"id":"2403.01528","title":"Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey","created":"2024-03-03","cited_by_count":17,"area":null},{"id":"2305.14232","title":"Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding","created":"2023-05-23","cited_by_count":16,"area":null},{"id":"2210.14814","title":"BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples","created":"2022-10-26","cited_by_count":15,"area":null},{"id":"2310.12580","title":"Pretraining Language Models with Text-Attributed Heterogeneous Graphs","created":"2023-10-19","cited_by_count":15,"area":null},{"id":"2312.10661","title":"Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-hoc Retrieval","created":"2023-12-17","cited_by_count":15,"area":null},{"id":"2404.07613","title":"Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain","created":"2024-04-11","cited_by_count":15,"area":null},{"id":"2211.08584","title":"Toward expanding the scope of radiology report summarization to multiple anatomies and modalities","created":"2022-11-15","cited_by_count":14,"area":null},{"id":"2305.12092","title":"ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain","created":"2023-05-20","cited_by_count":14,"area":null},{"id":"2212.10784","title":"Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?","created":"2022-12-21","cited_by_count":13,"area":null},{"id":"2302.05574","title":"NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization","created":"2023-02-11","cited_by_count":13,"area":null},{"id":"2307.11694","title":"SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design","created":"2023-06-19","cited_by_count":13,"area":null},{"id":"2305.05050","title":"ANALOGICAL -- A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models","created":"2023-05-08","cited_by_count":12,"area":null},{"id":"2308.07902","title":"Through the Lens of Core Competency: Survey on Evaluation of Large Language Models","created":"2023-08-15","cited_by_count":12,"area":null},{"id":"2309.13885","title":"TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning","created":"2023-09-25","cited_by_count":12,"area":null},{"id":"2311.11686","title":"Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation","created":"2023-11-20","cited_by_count":12,"area":null},{"id":"2305.12723","title":"Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting","created":"2023-05-22","cited_by_count":11,"area":null},{"id":"2309.02233","title":"Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering","created":"2023-09-05","cited_by_count":11,"area":null},{"id":"2407.15431","title":"Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs","created":"2024-07-22","cited_by_count":11,"area":null},{"id":"2508.20554","title":"Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering","created":"2025-08-28","cited_by_count":11,"area":null},{"id":"2305.12231","title":"Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation","created":"2023-05-20","cited_by_count":10,"area":null},{"id":"2305.13395","title":"BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance","created":"2023-05-22","cited_by_count":10,"area":null},{"id":"2410.23463","title":"MDCure: A Scalable Pipeline for Multi-Document Instruction-Following","created":"2024-10-30","cited_by_count":10,"area":null},{"id":"2306.17649","title":"Biomedical Language Models are Robust to Sub-optimal Tokenization","created":"2023-06-30","cited_by_count":9,"area":null},{"id":"2408.14496","title":"A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models","created":"2024-08-23","cited_by_count":9,"area":"mllm"},{"id":"2402.12372","title":"HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization tools","created":"2024-02-19","cited_by_count":8,"area":null},{"id":"2402.13043","title":"Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries","created":"2024-02-20","cited_by_count":8,"area":null},{"id":"2408.02600","title":"BioMamba: Domain-Adaptive Biomedical Language Models","created":"2024-08-05","cited_by_count":8,"area":null},{"id":"2309.14907","title":"Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias","created":"2023-09-26","cited_by_count":7,"area":null},{"id":"2407.14979","title":"RGB2Point: 3D Point Cloud Generation from Single RGB Images","created":"2024-07-20","cited_by_count":7,"area":null},{"id":"2309.09727","title":"When Large Language Models Meet Citation: A Survey","created":"2023-09-18","cited_by_count":6,"area":null},{"id":"2401.11403","title":"MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts","created":"2024-01-21","cited_by_count":6,"area":null},{"id":"2412.11983","title":"Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs","created":"2024-12-16","cited_by_count":6,"area":null},{"id":"2503.14411","title":"Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models","created":"2025-03-18","cited_by_count":6,"area":null},{"id":"2207.04993","title":"Embedding Recycling for Language Models","created":"2022-07-11","cited_by_count":5,"area":null},{"id":"2210.06345","title":"Variational Open-Domain Question Answering","created":"2022-09-23","cited_by_count":5,"area":"rag"},{"id":"2303.13722","title":"Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy","created":"2023-03-24","cited_by_count":5,"area":null},{"id":"2403.03791","title":"KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs","created":"2024-03-06","cited_by_count":5,"area":null},{"id":"2406.13235","title":"Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning","created":"2024-06-19","cited_by_count":5,"area":null},{"id":"2407.01948","title":"Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation","created":"2024-07-02","cited_by_count":5,"area":null},{"id":"2407.17726","title":"Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations","created":"2024-07-25","cited_by_count":5,"area":null},{"id":"2508.15849","title":"MedCoT-RAG: Causal Chain-of-Thought RAG for Medical Question Answering","created":"2025-08-20","cited_by_count":5,"area":"lr"},{"id":"2511.01386","title":"RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets","created":"2025-11-03","cited_by_count":5,"area":"rag"},{"id":"2210.05598","title":"Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translation","created":"2022-10-11","cited_by_count":4,"area":null},{"id":"2212.08966","title":"Graph Learning and Its Advancements on Large Language Models: A Holistic Survey","created":"2022-12-17","cited_by_count":4,"area":null},{"id":"2305.14571","title":"From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding","created":"2023-05-23","cited_by_count":4,"area":null}],"next_cursor":"100"}