{"list":"other","total":61,"rows":[{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"2304.08485","title":"Visual Instruction Tuning","created":"2023-04-17","cited_by_count":7869},{"id":"2111.06377","title":"Masked Autoencoders Are Scalable Vision Learners","created":"2021-11-11","cited_by_count":7403},{"id":"2501.12948","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","created":"2025-01-22","cited_by_count":6330},{"id":"2301.12597","title":"BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models","created":"2023-01-30","cited_by_count":6137},{"id":"2410.21276","title":"GPT-4o System Card","created":"2024-10-25","cited_by_count":4588},{"id":"2511.21631","title":"Qwen3-VL Technical Report","created":"2025-11-26","cited_by_count":2793},{"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":"2210.09461","title":"Token Merging: Your ViT But Faster","created":"2022-10-17","cited_by_count":1021},{"id":"2601.03267","title":"OpenAI GPT-5 System Card","created":"2025-12-19","cited_by_count":989},{"id":"2004.09666","title":"Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images","created":"2020-04-20","cited_by_count":745},{"id":"2106.00908","title":"TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification","created":"2021-06-02","cited_by_count":555},{"id":"2111.15667","title":"Adaptive Token Sampling For Efficient Vision Transformers","created":"2021-11-30","cited_by_count":183},{"id":"2502.15589","title":"LightThinker: Thinking Step-by-Step Compression","created":"2025-02-21","cited_by_count":104},{"id":"2312.04746","title":"Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos","created":"2023-12-07","cited_by_count":86},{"id":"2406.12275","title":"VoCo-LLaMA: Towards Vision Compression with Large Language Models","created":"2024-06-18","cited_by_count":79},{"id":"2403.12570","title":"Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images","created":"2024-03-19","cited_by_count":69},{"id":"2402.17228","title":"Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology","created":"2024-02-27","cited_by_count":67},{"id":"2410.11761","title":"SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding","created":"2024-10-15","cited_by_count":57},{"id":"2302.01392","title":"Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion","created":"2023-02-02","cited_by_count":54},{"id":"2307.14901","title":"Text-guided Foundation Model Adaptation for Pathological Image Classification","created":"2023-07-27","cited_by_count":47},{"id":"2412.00678","title":"2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification","created":"2024-12-01","cited_by_count":35},{"id":"2412.12077","title":"CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology","created":"2024-12-16","cited_by_count":34},{"id":"2403.07241","title":"Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations","created":"2024-03-12","cited_by_count":30},{"id":"2505.19190","title":"I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts","created":"2025-05-25","cited_by_count":30},{"id":"2510.11062","title":"Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs","created":"2025-10-13","cited_by_count":28},{"id":"2305.04208","title":"Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network","created":"2023-05-07","cited_by_count":21},{"id":"2512.03794","title":"AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition","created":"2025-12-03","cited_by_count":21},{"id":"2411.14743","title":"FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification","created":"2024-11-22","cited_by_count":20},{"id":"2506.05361","title":"Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching","created":"2025-05-25","cited_by_count":19},{"id":"2405.07905","title":"PLUTO: Pathology-Universal Transformer","created":"2024-05-13","cited_by_count":17},{"id":"2409.19684","title":"MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation","created":"2024-09-29","cited_by_count":17},{"id":"2603.01143","title":"TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning","created":"2026-03-01","cited_by_count":17},{"id":"2411.09858","title":"One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation","created":"2024-11-15","cited_by_count":16},{"id":"2511.19515","title":"Fewer Tokens, Greater Scaling: Self-Adaptive Visual Bases for Efficient and Expansive Representation Learning","created":"2025-11-24","cited_by_count":16},{"id":"2311.01092","title":"Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation","created":"2023-11-02","cited_by_count":14},{"id":"2409.09369","title":"Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology","created":"2024-09-14","cited_by_count":14},{"id":"2503.09496","title":"Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder","created":"2025-03-12","cited_by_count":13},{"id":"2407.11321","title":"TCFormer: Visual Recognition via Token Clustering Transformer","created":"2024-07-16","cited_by_count":12},{"id":"2408.05019","title":"Instruction Tuning-free Visual Token Complement for Multimodal LLMs","created":"2024-08-09","cited_by_count":12},{"id":"2410.08861","title":"A foundation model for generalizable disease diagnosis in chest X-ray images","created":"2024-10-11","cited_by_count":12},{"id":"2410.14195","title":"Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis","created":"2024-10-18","cited_by_count":12},{"id":"2411.09894","title":"Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement","created":"2024-11-15","cited_by_count":11},{"id":"2602.07605","title":"Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning","created":"2026-02-07","cited_by_count":11},{"id":"2603.07135","title":"The Model Knows Which Tokens Matter: Automatic Token Selection via Noise Gating","created":"2026-03-07","cited_by_count":11},{"id":"2603.11846","title":"ZeroSense:How Vision matters in Long Context Compression","created":"2026-03-12","cited_by_count":11},{"id":"2603.07113","title":"Efficient Chest X-ray Representation Learning via Semantic-Partitioned Contrastive Learning","created":"2026-03-07","cited_by_count":10},{"id":"2506.02677","title":"Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation","created":"2025-06-03","cited_by_count":9},{"id":"2403.09257","title":"WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images","created":"2024-03-14","cited_by_count":7},{"id":"2407.17734","title":"Cost-effective Instruction Learning for Pathology Vision and Language Analysis","created":"2024-07-25","cited_by_count":7},{"id":"2504.18856","title":"Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation","created":"2025-04-26","cited_by_count":6},{"id":"2506.02408","title":"Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology","created":"2025-06-03","cited_by_count":6},{"id":"2512.05391","title":"LoC-Path: Learning to Compress for Pathology Multimodal Large Language Models","created":"2025-12-05","cited_by_count":6},{"id":"2603.01400","title":"Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models","created":"2026-03-02","cited_by_count":5},{"id":"2602.11105","title":"FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference","created":"2026-02-11","cited_by_count":4},{"id":"2309.01487","title":"GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation","created":"2023-09-04","cited_by_count":3},{"id":"2503.18074","title":"WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression","created":"2025-03-23","cited_by_count":3},{"id":"2512.06612","title":"Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics","created":"2025-12-07","cited_by_count":3},{"id":"2203.15347","title":"Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis","created":"2022-03-29","cited_by_count":2},{"id":"2503.23862","title":"Learned Image Compression and Restoration for Digital Pathology","created":"2025-03-31","cited_by_count":1},{"id":"2602.18867","title":"Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning","created":"2026-02-21","cited_by_count":1}],"next_cursor":null}