{"total":329,"rows":[{"id":"2410.21276","title":"GPT-4o System Card","created":"2024-10-25","cited_by_count":4588,"area":null},{"id":"2410.10762","title":"AFlow: Automating Agentic Workflow Generation","created":"2024-10-14","cited_by_count":432,"area":"lr"},{"id":"2402.13178","title":"Benchmarking Retrieval-Augmented Generation for Medicine","created":"2024-02-20","cited_by_count":331,"area":"rag"},{"id":"2406.07496","title":"TextGrad: Automatic \"Differentiation\" via Text","created":"2024-06-11","cited_by_count":273,"area":null},{"id":"2412.18925","title":"HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs","created":"2024-12-25","cited_by_count":265,"area":"lr"},{"id":"2404.18416","title":"Capabilities of Gemini Models in Medicine","created":"2024-04-29","cited_by_count":237,"area":null},{"id":"2405.07960","title":"AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments","created":"2024-05-13","cited_by_count":231,"area":"agents"},{"id":"2405.02957","title":"Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents","created":"2024-05-05","cited_by_count":218,"area":"agents"},{"id":"2404.15155","title":"MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making","created":"2024-04-22","cited_by_count":163,"area":null},{"id":"2401.10815","title":"Exploring scalable medical image encoders beyond text supervision","created":"2024-01-19","cited_by_count":132,"area":null},{"id":"2504.01990","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","created":"2025-03-31","cited_by_count":126,"area":"agents"},{"id":"2404.02831","title":"Empowering Biomedical Discovery with AI Agents","created":"2024-04-03","cited_by_count":118,"area":null},{"id":"2402.18060","title":"Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions","created":"2024-02-28","cited_by_count":109,"area":null},{"id":"2405.07467","title":"MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation","created":"2024-05-13","cited_by_count":105,"area":null},{"id":"2401.08500","title":"Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering","created":"2024-01-16","cited_by_count":103,"area":null},{"id":"2402.13963","title":"Towards Building Multilingual Language Model for Medicine","created":"2024-02-21","cited_by_count":92,"area":null},{"id":"2406.12334","title":"What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering","created":"2024-06-18","cited_by_count":90,"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":"2408.06142","title":"Med42-v2: A Suite of Clinical LLMs","created":"2024-08-12","cited_by_count":90,"area":null},{"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":"2401.05654","title":"Towards Conversational Diagnostic AI","created":"2024-01-11","cited_by_count":79,"area":null},{"id":"2404.03264","title":"Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions","created":"2024-04-04","cited_by_count":77,"area":null},{"id":"2403.15042","title":"LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement","created":"2024-03-22","cited_by_count":70,"area":null},{"id":"2406.12036","title":"MedCalc-Bench: Evaluating Large Language Models for Medical Calculations","created":"2024-06-17","cited_by_count":70,"area":null},{"id":"2406.03949","title":"UltraMedical: Building Specialized Generalists in Biomedicine","created":"2024-06-06","cited_by_count":67,"area":null},{"id":"2409.14924","title":"Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely","created":"2024-09-23","cited_by_count":66,"area":"rag"},{"id":"2603.21687","title":"MIRAGE: The Illusion of Visual Understanding","created":"2026-03-23","cited_by_count":65,"area":null},{"id":"2506.22405","title":"Sequential Diagnosis with Language Models","created":"2025-06-27","cited_by_count":60,"area":null},{"id":"2502.04306","title":"ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization","created":"2025-02-06","cited_by_count":56,"area":"agents"},{"id":"2403.02727","title":"HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?","created":"2024-03-05","cited_by_count":54,"area":null},{"id":"2408.00727","title":"Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions","created":"2024-08-01","cited_by_count":54,"area":"rag"},{"id":"2505.20347","title":"SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data","created":"2025-05-25","cited_by_count":51,"area":"lr"},{"id":"2401.05799","title":"Designing Heterogeneous LLM Agents for Financial Sentiment Analysis","created":"2024-01-11","cited_by_count":48,"area":"agents"},{"id":"2312.15523","title":"The Persuasive Power of Large Language Models","created":"2023-12-24","cited_by_count":47,"area":null},{"id":"2410.06542","title":"MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging","created":"2024-10-09","cited_by_count":46,"area":null},{"id":"2411.08249","title":"Retrieval Augmented Time Series Forecasting","created":"2024-11-12","cited_by_count":46,"area":"rag"},{"id":"2402.06341","title":"RareBench: Can LLMs Serve as Rare Diseases Specialists?","created":"2024-02-09","cited_by_count":45,"area":null},{"id":"2405.08603","title":"A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine","created":"2024-05-14","cited_by_count":45,"area":"mllm"},{"id":"2401.02777","title":"From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models","created":"2024-01-05","cited_by_count":43,"area":"agents"},{"id":"2502.19655","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","created":"2025-02-27","cited_by_count":40,"area":"lr"},{"id":"2503.07459","title":"MedicalAgentsBench for Complex Medical Reasoning: Comparing Internalized Reasoning Models versus Externalized Agent-based Frameworks","created":"2025-03-10","cited_by_count":40,"area":"lr"},{"id":"2503.22678","title":"Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions","created":"2025-03-28","cited_by_count":40,"area":"agents"},{"id":"2403.07407","title":"In-context learning enables multimodal large language models to classify cancer pathology images","created":"2024-03-12","cited_by_count":38,"area":"mllm"},{"id":"2402.08113","title":"Addressing cognitive bias in medical language models","created":"2024-02-12","cited_by_count":36,"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":"2406.03712","title":"A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions","created":"2024-06-06","cited_by_count":34,"area":null},{"id":"2408.11865","title":"How Susceptible are LLMs to Influence in Prompts?","created":"2024-08-17","cited_by_count":33,"area":null},{"id":"2409.15277","title":"A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?","created":"2024-09-23","cited_by_count":33,"area":null},{"id":"2401.08396","title":"Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine","created":"2024-01-16","cited_by_count":31,"area":null},{"id":"2505.03981","title":"X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains","created":"2025-05-06","cited_by_count":31,"area":"lr"},{"id":"2402.17168","title":"Benchmarking Data Science Agents","created":"2024-02-27","cited_by_count":30,"area":"agents"},{"id":"2404.00376","title":"Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks","created":"2024-03-30","cited_by_count":30,"area":"lr"},{"id":"2409.01392","title":"ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems","created":"2024-09-02","cited_by_count":30,"area":"agents"},{"id":"2410.17952","title":"SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains","created":"2024-10-23","cited_by_count":28,"area":"rag"},{"id":"2412.10849","title":"Superhuman performance of a large language model on the reasoning tasks of a physician","created":"2024-12-14","cited_by_count":28,"area":"lr"},{"id":"2406.06474","title":"Towards a Personal Health Large Language Model","created":"2024-06-10","cited_by_count":27,"area":null},{"id":"2404.12452","title":"Characterizing LLM Abstention Behavior in Science QA with Context Perturbations","created":"2024-04-18","cited_by_count":26,"area":null},{"id":"2406.06573","title":"MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering","created":"2024-06-03","cited_by_count":26,"area":null},{"id":"2412.16833","title":"KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis","created":"2024-12-22","cited_by_count":26,"area":"agents"},{"id":"2503.13856","title":"MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation","created":"2025-03-18","cited_by_count":26,"area":"agents"},{"id":"2403.05949","title":"General surgery vision transformer: A video pre-trained foundation model for general surgery","created":"2024-03-09","cited_by_count":25,"area":null},{"id":"2411.03590","title":"From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond","created":"2024-11-06","cited_by_count":24,"area":null},{"id":"2502.19175","title":"MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis","created":"2025-02-26","cited_by_count":23,"area":"agents"},{"id":"2403.01469","title":"KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations","created":"2024-03-03","cited_by_count":22,"area":null},{"id":"2312.07814","title":"A Foundational Multimodal Vision Language AI Assistant for Human Pathology","created":"2023-12-13","cited_by_count":21,"area":null},{"id":"2410.05180","title":"Mitigating the Risk of Health Inequity Exacerbated by Large Language Models","created":"2024-10-07","cited_by_count":21,"area":null},{"id":"2511.17959","title":"Towards Automating Data Access Permissions in AI Agents","created":"2025-11-22","cited_by_count":21,"area":null},{"id":"2401.14589","title":"Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias","created":"2024-01-26","cited_by_count":20,"area":"agents"},{"id":"2402.19371","title":"OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models","created":"2024-02-29","cited_by_count":20,"area":null},{"id":"2505.10717","title":"A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment","created":"2025-05-15","cited_by_count":20,"area":"alignment"},{"id":"2406.10504","title":"Task Facet Learning: A Structured Approach to Prompt Optimization","created":"2024-06-15","cited_by_count":19,"area":null},{"id":"2502.07143","title":"Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning","created":"2025-02-11","cited_by_count":19,"area":"lr"},{"id":"2406.03339","title":"The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches","created":"2024-06-05","cited_by_count":18,"area":null},{"id":"2409.10566","title":"Eureka: Evaluating and Understanding Large Foundation Models","created":"2024-09-13","cited_by_count":18,"area":null},{"id":"2412.17153","title":"Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching","created":"2024-12-22","cited_by_count":18,"area":"diffusion"},{"id":"2502.02180","title":"The Elicitation Game: Evaluating Capability Elicitation Techniques","created":"2025-02-04","cited_by_count":18,"area":null},{"id":"2311.18550","title":"Search Still Matters: Information Retrieval in the Era of Generative AI","created":"2023-11-30","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":"2407.19305","title":"GP-VLS: A general-purpose vision language model for surgery","created":"2024-07-27","cited_by_count":17,"area":"mllm"},{"id":"2410.19155","title":"Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use","created":"2024-10-24","cited_by_count":17,"area":null},{"id":"2402.00854","title":"SymbolicAI: A framework for logic-based approaches combining generative models and solvers","created":"2024-02-01","cited_by_count":16,"area":null},{"id":"2408.08422","title":"Assessing and Enhancing Large Language Models in Rare Disease Question-answering","created":"2024-08-15","cited_by_count":16,"area":null},{"id":"2502.18274","title":"Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support","created":"2025-02-25","cited_by_count":16,"area":"lr"},{"id":"2505.07889","title":"BioProBench: A Corpus and Benchmark for Biological Protocol Reasoning in Autonomous Science","created":"2025-05-11","cited_by_count":16,"area":"lr"},{"id":"2403.01924","title":"To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering","created":"2024-03-04","cited_by_count":15,"area":null},{"id":"2408.07773","title":"MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis","created":"2024-08-14","cited_by_count":15,"area":null},{"id":"2601.12471","title":"Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty","created":"2026-01-18","cited_by_count":15,"area":null},{"id":"2405.01249","title":"Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices","created":"2024-05-02","cited_by_count":14,"area":null},{"id":"2505.23601","title":"EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis","created":"2025-05-29","cited_by_count":14,"area":"mllm"},{"id":"2403.06294","title":"ArgMed-Agents: Explainable Clinical Decision Reasoning with LLM Disscusion via Argumentation Schemes","created":"2024-03-10","cited_by_count":13,"area":"lr"},{"id":"2405.00716","title":"Large Language Models in the Clinic: A Comprehensive Benchmark","created":"2024-04-25","cited_by_count":13,"area":null},{"id":"2508.17450","title":"Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD","created":"2025-08-24","cited_by_count":13,"area":null},{"id":"2404.07376","title":"LLMs in Biomedicine: A study on clinical Named Entity Recognition","created":"2024-04-10","cited_by_count":12,"area":null},{"id":"2408.11854","title":"When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?","created":"2024-08-15","cited_by_count":12,"area":null},{"id":"2502.13010","title":"Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge","created":"2025-02-18","cited_by_count":12,"area":"agents"},{"id":"2504.06771","title":"AI, Help Me Think$\\unicode{x2014}$but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support","created":"2025-04-09","cited_by_count":12,"area":"lr"},{"id":"2509.18234","title":"The Illusion of Readiness in Health AI","created":"2025-09-22","cited_by_count":12,"area":null},{"id":"2403.09724","title":"ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs","created":"2024-03-12","cited_by_count":11,"area":null},{"id":"2404.05337","title":"Towards Objectively Benchmarking Social Intelligence for Language Agents at Action Level","created":"2024-04-08","cited_by_count":11,"area":"agents"},{"id":"2410.01731","title":"ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation","created":"2024-10-02","cited_by_count":11,"area":null}],"next_cursor":"100"}