{"total":17,"rows":[{"id":"2408.01800","title":"MiniCPM-V: A GPT-4V Level MLLM on Your Phone","created":"2024-08-03","cited_by_count":1079,"area":"mllm"},{"id":"2410.02712","title":"LLaVA-Critic: Learning to Evaluate Multimodal Models","created":"2024-10-03","cited_by_count":134,"area":"mllm"},{"id":"2312.10665","title":"Silkie: Preference Distillation for Large Visual Language Models","created":"2023-12-17","cited_by_count":130,"area":"mllm"},{"id":"2410.09421","title":"VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment","created":"2024-10-12","cited_by_count":58,"area":"mllm"},{"id":"2407.20174","title":"Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning","created":"2024-07-29","cited_by_count":27,"area":"mllm"},{"id":"2311.08172","title":"Vision-Language Instruction Tuning: A Review and Analysis","created":"2023-11-14","cited_by_count":17,"area":"mllm"},{"id":"2407.08583","title":"The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective","created":"2024-07-11","cited_by_count":15,"area":"mllm"},{"id":"2503.06260","title":"From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models","created":"2025-03-08","cited_by_count":11,"area":"mllm"},{"id":"2412.04903","title":"EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation","created":"2024-12-06","cited_by_count":8,"area":"mllm"},{"id":"2502.14638","title":"NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization","created":"2025-02-20","cited_by_count":8,"area":"mllm"},{"id":"2502.11427","title":"Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models","created":"2025-02-17","cited_by_count":1,"area":"mllm"},{"id":"2504.04221","title":"Evaluating Graphical Perception with Multimodal LLMs","created":"2025-04-05","cited_by_count":1,"area":"mllm"},{"id":"2504.12316","title":"Data Metabolism: An Efficient Data Design Schema For Vision Language Model","created":"2025-04-10","cited_by_count":1,"area":"mllm"},{"id":"2405.12752","title":"C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning","created":"2024-05-21","cited_by_count":0,"area":"mllm"},{"id":"2503.18320","title":"Bridging Writing Manner Gap in Visual Instruction Tuning by Creating LLM-aligned Instructions","created":"2025-03-24","cited_by_count":0,"area":"mllm"},{"id":"2504.12315","title":"Capybara-OMNI: An Efficient Paradigm for Building Omni-Modal Language Models","created":"2025-04-10","cited_by_count":0,"area":"mllm"},{"id":"2507.08513","title":"Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation","created":"2025-07-11","cited_by_count":0,"area":"mllm"}],"next_cursor":null}