{"total":27,"rows":[{"id":"2311.16839","title":"Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization","created":"2023-11-28","cited_by_count":225,"area":"mllm"},{"id":"2408.12637","title":"Building and better understanding vision-language models: insights and future directions","created":"2024-08-22","cited_by_count":173,"area":"mllm"},{"id":"2406.08394","title":"VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks","created":"2024-06-12","cited_by_count":137,"area":"mllm"},{"id":"2312.16886","title":"MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices","created":"2023-12-28","cited_by_count":122,"area":"mllm"},{"id":"2407.06135","title":"ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation","created":"2024-07-08","cited_by_count":114,"area":"mllm"},{"id":"2405.16640","title":"A Survey of Multimodal Large Language Model from A Data-centric Perspective","created":"2024-05-26","cited_by_count":75,"area":"mllm"},{"id":"2406.04334","title":"DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs","created":"2024-06-06","cited_by_count":75,"area":"mllm"},{"id":"2403.08350","title":"CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model","created":"2024-03-13","cited_by_count":61,"area":"mllm"},{"id":"2410.09732","title":"LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models","created":"2024-10-13","cited_by_count":51,"area":"mllm"},{"id":"2509.11417","title":"Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations","created":"2025-09-14","cited_by_count":25,"area":"mllm"},{"id":"2403.06199","title":"Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models","created":"2024-03-10","cited_by_count":24,"area":"mllm"},{"id":"2405.12107","title":"Imp: Highly Capable Large Multimodal Models for Mobile Devices","created":"2024-05-20","cited_by_count":20,"area":"mllm"},{"id":"2412.13702","title":"Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models","created":"2024-12-18","cited_by_count":12,"area":"mllm"},{"id":"2501.00958","title":"2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining","created":"2025-01-01","cited_by_count":9,"area":"mllm"},{"id":"2601.20520","title":"Context Tokens are Anchors: Understanding the Repetition Curse in dMLLMs from an Information Flow Perspective","created":"2026-01-28","cited_by_count":6,"area":"mllm"},{"id":"2603.09018","title":"Meissa: Multi-modal Medical Agentic Intelligence","created":"2026-03-09","cited_by_count":6,"area":"mllm"},{"id":"2410.19925","title":"Improving Multimodal Large Language Models Using Continual Learning","created":"2024-10-25","cited_by_count":5,"area":"mllm"},{"id":"2407.12064","title":"LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task","created":"2024-07-16","cited_by_count":4,"area":"mllm"},{"id":"2505.09498","title":"Flash-VL 2B: Optimizing Vision-Language Model Performance for Ultra-Low Latency and High Throughput","created":"2025-05-14","cited_by_count":4,"area":"mllm"},{"id":"2505.12884","title":"TinyAlign: Boosting Lightweight Vision-Language Models by Mitigating Modal Alignment Bottlenecks","created":"2025-05-19","cited_by_count":4,"area":"mllm"},{"id":"2311.07594","title":"How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model","created":"2023-11-10","cited_by_count":3,"area":"mllm"},{"id":"2504.17826","title":"FashionM3: Multimodal, Multitask, and Multiround Fashion Assistant based on Unified Vision-Language Model","created":"2025-04-24","cited_by_count":2,"area":"mllm"},{"id":"2507.02909","title":"Fine-grained Token Allocation Via Operation Pruning for Efficient MLLMs","created":"2025-06-24","cited_by_count":2,"area":"mllm"},{"id":"2510.25682","title":"PairUni: Pairwise Training for Unified Multimodal Language Models","created":"2025-10-29","cited_by_count":1,"area":"mllm"},{"id":"2603.10877","title":"From Images to Words: Efficient Cross-Modal Knowledge Distillation to Language Models from Black-box Teachers","created":"2026-03-11","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":"2609.39836","title":"Spherical Interpolation for Backward-Compatible Multimodal Representations","created":"2026-09-30","cited_by_count":0,"area":"mllm"}],"next_cursor":null}