{"list":"other","total":62,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"1707.06347","title":"Proximal Policy Optimization Algorithms","created":"2017-07-20","cited_by_count":15215},{"id":"2302.13971","title":"LLaMA: Open and Efficient Foundation Language Models","created":"2023-02-27","cited_by_count":14132},{"id":"2307.09288","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","created":"2023-07-18","cited_by_count":13028},{"id":"2505.09388","title":"Qwen3 Technical Report","created":"2025-05-14","cited_by_count":8820},{"id":"2305.18290","title":"Direct Preference Optimization: Your Language Model is Secretly a Reward Model","created":"2023-05-29","cited_by_count":8065},{"id":"2309.06180","title":"Efficient Memory Management for Large Language Model Serving with PagedAttention","created":"2023-09-12","cited_by_count":5944},{"id":"1904.09675","title":"BERTScore: Evaluating Text Generation with BERT","created":"2019-04-21","cited_by_count":5512},{"id":"2507.06261","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","created":"2025-07-07","cited_by_count":3796},{"id":"2205.14135","title":"FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness","created":"2022-05-27","cited_by_count":3673},{"id":"2309.16609","title":"Qwen Technical Report","created":"2023-09-28","cited_by_count":3344},{"id":"2304.10592","title":"MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models","created":"2023-04-20","cited_by_count":2711},{"id":"2504.10479","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","created":"2025-04-14","cited_by_count":1834},{"id":"2306.00890","title":"LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day","created":"2023-06-01","cited_by_count":1305},{"id":"2010.16056","title":"Generating Radiology Reports via Memory-driven Transformer","created":"2020-10-30","cited_by_count":368},{"id":"2204.09817","title":"Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing","created":"2022-04-21","cited_by_count":339},{"id":"2506.07044","title":"Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning","created":"2025-06-08","cited_by_count":230},{"id":"1711.08195","title":"On the Automatic Generation of Medical Imaging Reports","created":"2017-11-22","cited_by_count":216},{"id":"2406.19280","title":"HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale","created":"2024-06-27","cited_by_count":200},{"id":"2204.13258","title":"Cross-modal Memory Networks for Radiology Report Generation","created":"2022-04-28","cited_by_count":185},{"id":"2502.19634","title":"MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning","created":"2025-02-26","cited_by_count":173},{"id":"2106.06963","title":"Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation","created":"2021-06-13","cited_by_count":162},{"id":"2406.04449","title":"MAIRA-2: Grounded Radiology Report Generation","created":"2024-06-06","cited_by_count":145},{"id":"2503.13939","title":"Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models","created":"2025-03-18","cited_by_count":144},{"id":"1805.08298","title":"Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation","created":"2018-05-21","cited_by_count":141},{"id":"2010.10042","title":"Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation","created":"2020-10-20","cited_by_count":141},{"id":"1801.04334","title":"TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays","created":"2018-01-12","cited_by_count":139},{"id":"1904.02633","title":"Clinically Accurate Chest X-Ray Report Generation","created":"2019-04-04","cited_by_count":139},{"id":"2303.10323","title":"Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation","created":"2023-03-18","cited_by_count":118},{"id":"2309.09812","title":"R2GenGPT: Radiology Report Generation with Frozen LLMs","created":"2023-09-18","cited_by_count":114},{"id":"2210.12186","title":"Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards","created":"2022-10-21","cited_by_count":83},{"id":"2311.13668","title":"MAIRA-1: A specialised large multimodal model for radiology report generation","created":"2023-11-22","cited_by_count":74},{"id":"2112.15011","title":"Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment","created":"2021-12-30","cited_by_count":73},{"id":"1907.09085","title":"Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment","created":"2019-07-22","cited_by_count":60},{"id":"1603.08486","title":"Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation","created":"2016-03-28","cited_by_count":59},{"id":"2207.04818","title":"Cross-modal Prototype Driven Network for Radiology Report Generation","created":"2022-07-11","cited_by_count":59},{"id":"2004.12274","title":"Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports","created":"2020-04-26","cited_by_count":58},{"id":"2305.11490","title":"LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation","created":"2023-05-19","cited_by_count":57},{"id":"2210.06340","title":"Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors","created":"2022-09-27","cited_by_count":48},{"id":"2208.10358","title":"A Medical Semantic-Assisted Transformer for Radiographic Report Generation","created":"2022-08-22","cited_by_count":44},{"id":"2102.09777","title":"Progressive Transformer-Based Generation of Radiology Reports","created":"2021-02-19","cited_by_count":43},{"id":"2405.10842","title":"Automated Radiology Report Generation: A Review of Recent Advances","created":"2024-05-17","cited_by_count":43},{"id":"2306.06466","title":"ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning","created":"2023-06-10","cited_by_count":42},{"id":"2502.20056","title":"Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation","created":"2025-02-27","cited_by_count":42},{"id":"2506.00711","title":"QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training","created":"2025-05-31","cited_by_count":38},{"id":"2310.18341","title":"CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images","created":"2023-10-22","cited_by_count":37},{"id":"2508.08224","title":"Capabilities of GPT-5 on Multimodal Medical Reasoning","created":"2025-08-11","cited_by_count":36},{"id":"2306.08749","title":"Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports","created":"2023-06-14","cited_by_count":35},{"id":"2404.15127","title":"GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration","created":"2024-04-23","cited_by_count":34},{"id":"2407.15158","title":"HERGen: Elevating Radiology Report Generation with Longitudinal Data","created":"2024-07-21","cited_by_count":33},{"id":"2108.12126","title":"Automated Generation of Accurate \\& Fluent Medical X-ray Reports","created":"2021-08-27","cited_by_count":24},{"id":"2307.09758","title":"Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation","created":"2023-07-19","cited_by_count":24},{"id":"2303.15932","title":"Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation","created":"2023-03-28","cited_by_count":23},{"id":"2310.05881","title":"Controllable Chest X-Ray Report Generation from Longitudinal Representations","created":"2023-10-09","cited_by_count":23},{"id":"2310.13864","title":"RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning","created":"2023-10-21","cited_by_count":22},{"id":"2405.14905","title":"Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation","created":"2024-05-23","cited_by_count":15},{"id":"2505.24223","title":"Automated Structured Radiology Report Generation","created":"2025-05-30","cited_by_count":15},{"id":"2405.09586","title":"Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation","created":"2024-05-15","cited_by_count":11},{"id":"2508.05353","title":"PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation","created":"2025-08-07","cited_by_count":9},{"id":"2411.10224","title":"EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge","created":"2024-11-15","cited_by_count":4}],"next_cursor":null}