{"total":35,"rows":[{"id":"2412.10302","title":"DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding","created":"2024-12-13","cited_by_count":572,"area":"mllm"},{"id":"2510.17269","title":"FineVision: Open Data Is All You Need","created":"2025-10-20","cited_by_count":53,"area":"mllm"},{"id":"2501.02765","title":"Visual Large Language Models for Generalized and Specialized Applications","created":"2025-01-06","cited_by_count":36,"area":"mllm"},{"id":"2408.00491","title":"GalleryGPT: Analyzing Paintings with Large Multimodal Models","created":"2024-08-01","cited_by_count":28,"area":"mllm"},{"id":"2409.18142","title":"A Survey on Multimodal Benchmarks: In the Era of Large AI Models","created":"2024-09-21","cited_by_count":27,"area":"mllm"},{"id":"2412.11863","title":"GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training","created":"2024-12-16","cited_by_count":23,"area":"mllm"},{"id":"2506.05453","title":"MLLM-CL: Continual Learning for Multimodal Large Language Models","created":"2025-06-05","cited_by_count":23,"area":"mllm"},{"id":"2410.01744","title":"Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks","created":"2024-10-02","cited_by_count":18,"area":"mllm"},{"id":"2506.09049","title":"VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning","created":"2025-06-10","cited_by_count":18,"area":"mllm"},{"id":"2409.04828","title":"POINTS: Improving Your Vision-language Model with Affordable Strategies","created":"2024-09-07","cited_by_count":17,"area":"mllm"},{"id":"2411.01492","title":"EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark","created":"2024-11-03","cited_by_count":15,"area":"mllm"},{"id":"2503.14939","title":"VisNumBench: Evaluating Number Sense of Multimodal Large Language Models","created":"2025-03-19","cited_by_count":14,"area":"mllm"},{"id":"2509.14033","title":"SAIL-VL2 Technical Report","created":"2025-09-17","cited_by_count":14,"area":"mllm"},{"id":"2412.08737","title":"Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions","created":"2024-12-11","cited_by_count":13,"area":"mllm"},{"id":"2412.20903","title":"WalkVLM:Aid Visually Impaired People Walking by Vision Language Model","created":"2024-12-30","cited_by_count":13,"area":"mllm"},{"id":"2506.06034","title":"MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems?","created":"2025-06-06","cited_by_count":13,"area":"mllm"},{"id":"2503.21817","title":"Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping","created":"2025-03-26","cited_by_count":12,"area":"mllm"},{"id":"2412.05983","title":"Chimera: Improving Generalist Model with Domain-Specific Experts","created":"2024-12-08","cited_by_count":11,"area":"mllm"},{"id":"2503.16549","title":"MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems","created":"2025-03-19","cited_by_count":10,"area":"mllm"},{"id":"2510.19307","title":"Unified Reinforcement and Imitation Learning for Vision-Language Models","created":"2025-10-22","cited_by_count":8,"area":"mllm"},{"id":"2502.16593","title":"Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images","created":"2025-02-23","cited_by_count":5,"area":"mllm"},{"id":"2505.02413","title":"Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks","created":"2025-05-05","cited_by_count":5,"area":"mllm"},{"id":"2507.01643","title":"SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement","created":"2025-07-02","cited_by_count":4,"area":"mllm"},{"id":"2510.11496","title":"AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model","created":"2025-10-13","cited_by_count":4,"area":"mllm"},{"id":"2505.20152","title":"MMGeoLM: Hard Negative Contrastive Learning for Fine-Grained Geometric Understanding in Large Multimodal Models","created":"2025-05-26","cited_by_count":2,"area":"mllm"},{"id":"2509.24171","title":"Model Correlation Detection via Random Selection Probing","created":"2025-09-29","cited_by_count":2,"area":"mllm"},{"id":"2602.22601","title":"$\\phi$-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal Models","created":"2026-02-26","cited_by_count":2,"area":"mllm"},{"id":"2604.17041","title":"SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models","created":"2026-04-18","cited_by_count":2,"area":"mllm"},{"id":"2506.00814","title":"GuessBench: Sensemaking Multimodal Creativity in the Wild","created":"2025-06-01","cited_by_count":1,"area":"mllm"},{"id":"2506.07418","title":"Evaluating Visual Mathematics in Multimodal LLMs: A Multilingual Benchmark Based on the Kangaroo Tests","created":"2025-06-09","cited_by_count":1,"area":"mllm"},{"id":"2602.08524","title":"GeoFocus: Blending Efficient Global-to-Local Perception for Multimodal Geometry Problem-Solving","created":"2026-02-09","cited_by_count":1,"area":"mllm"},{"id":"2505.22633","title":"Spatial Knowledge Graph-Guided Multimodal Synthesis","created":"2025-05-28","cited_by_count":0,"area":"mllm"},{"id":"2512.14926","title":"Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models","created":"2025-12-16","cited_by_count":0,"area":"mllm"},{"id":"2604.09531","title":"VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images","created":"2026-04-10","cited_by_count":0,"area":"mllm"},{"id":"2609.31746","title":"VisionPsy-Nano: Improving Accuracy, Efficiency, and Reliability in On-Device Vision-Language Models","created":"2026-09-23","cited_by_count":0,"area":"mllm"}],"next_cursor":null}