{"total":57,"rows":[{"id":"2305.10355","title":"Evaluating Object Hallucination in Large Vision-Language Models","created":"2023-05-17","cited_by_count":1729,"area":"mllm"},{"id":"2304.00685","title":"Vision-Language Models for Vision Tasks: A Survey","created":"2023-04-03","cited_by_count":839,"area":"mllm"},{"id":"2306.11029","title":"RemoteCLIP: A Vision Language Foundation Model for Remote Sensing","created":"2023-06-19","cited_by_count":363,"area":"mllm"},{"id":"2202.10401","title":"Vision-Language Pre-Training with Triple Contrastive Learning","created":"2022-02-21","cited_by_count":212,"area":"mllm"},{"id":"2305.14761","title":"UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning","created":"2023-05-24","cited_by_count":160,"area":"mllm"},{"id":"2306.11300","title":"RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing","created":"2023-06-20","cited_by_count":151,"area":"mllm"},{"id":"2403.19838","title":"Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving","created":"2024-03-28","cited_by_count":52,"area":"mllm"},{"id":"2406.05491","title":"One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models","created":"2024-06-08","cited_by_count":40,"area":"mllm"},{"id":"2504.02477","title":"Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision","created":"2025-04-03","cited_by_count":40,"area":"mllm"},{"id":"2410.12790","title":"Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models","created":"2024-10-16","cited_by_count":38,"area":"mllm"},{"id":"2308.03135","title":"EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding","created":"2023-08-06","cited_by_count":34,"area":"mllm"},{"id":"2306.02080","title":"Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models","created":"2023-06-03","cited_by_count":31,"area":"mllm"},{"id":"2503.19900","title":"CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning","created":"2025-03-25","cited_by_count":31,"area":"mllm"},{"id":"2502.07855","title":"Vision-Language Models for Edge Networks: A Comprehensive Survey","created":"2025-02-11","cited_by_count":29,"area":"mllm"},{"id":"2412.02573","title":"Remote Sensing SpatioTemporal Vision-Language Models: A Comprehensive Survey","created":"2024-12-03","cited_by_count":23,"area":"mllm"},{"id":"2208.13628","title":"Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment","created":"2022-08-29","cited_by_count":19,"area":"mllm"},{"id":"2504.09724","title":"A Survey on Efficient Vision-Language Models","created":"2025-04-13","cited_by_count":19,"area":"mllm"},{"id":"2501.03151","title":"Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches","created":"2025-01-06","cited_by_count":18,"area":"mllm"},{"id":"2508.04227","title":"Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting","created":"2025-08-06","cited_by_count":18,"area":"mllm"},{"id":"2412.06474","title":"Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding","created":"2024-12-09","cited_by_count":15,"area":"mllm"},{"id":"2207.05333","title":"IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training","created":"2022-07-12","cited_by_count":14,"area":"mllm"},{"id":"2403.03346","title":"Enhancing Vision-Language Pre-training with Rich Supervisions","created":"2024-03-05","cited_by_count":13,"area":"mllm"},{"id":"2405.19186","title":"MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification","created":"2024-05-29","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":"2310.17218","title":"Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification","created":"2023-10-26","cited_by_count":11,"area":"mllm"},{"id":"2504.05445","title":"Probing the Visualization Literacy of Vision Language Models: the Good, the Bad, and the Ugly","created":"2025-04-07","cited_by_count":11,"area":"mllm"},{"id":"2512.20561","title":"FlashVLM: Text-Guided Visual Token Selection for Large Multimodal Models","created":"2025-12-23","cited_by_count":11,"area":"mllm"},{"id":"2306.08685","title":"World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models","created":"2023-06-14","cited_by_count":10,"area":"mllm"},{"id":"2412.07619","title":"DRUM: Learning Demonstration Retriever for Large MUlti-modal Models","created":"2024-12-10","cited_by_count":10,"area":"mllm"},{"id":"2404.09387","title":"RankCLIP: Ranking-Consistent Language-Image Pretraining","created":"2024-04-15","cited_by_count":9,"area":"mllm"},{"id":"2410.05191","title":"LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation","created":"2024-10-07","cited_by_count":9,"area":"mllm"},{"id":"2211.16504","title":"Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles","created":"2022-11-29","cited_by_count":7,"area":"mllm"},{"id":"2408.13461","title":"Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach","created":"2024-08-24","cited_by_count":7,"area":"mllm"},{"id":"2506.18504","title":"Generalizing vision-language models to novel domains: A comprehensive survey","created":"2025-06-23","cited_by_count":7,"area":"mllm"},{"id":"2503.09394","title":"Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models","created":"2025-03-12","cited_by_count":6,"area":"mllm"},{"id":"2404.12839","title":"ECOR: Explainable CLIP for Object Recognition","created":"2024-04-19","cited_by_count":4,"area":"mllm"},{"id":"2503.19311","title":"DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for Alignment","created":"2025-03-25","cited_by_count":4,"area":"mllm"},{"id":"2501.07396","title":"Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models","created":"2025-01-13","cited_by_count":3,"area":"mllm"},{"id":"2502.11969","title":"Learning Generalizable Prompt for CLIP with Class Similarity Knowledge","created":"2025-02-17","cited_by_count":3,"area":"mllm"},{"id":"2306.07198","title":"A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation","created":"2023-06-12","cited_by_count":2,"area":"mllm"},{"id":"2409.17610","title":"ZALM3: Zero-Shot Enhancement of Vision-Language Alignment via In-Context Information in Multi-Turn Multimodal Medical Dialogue","created":"2024-09-26","cited_by_count":2,"area":"mllm"},{"id":"2412.10353","title":"Robust image classification with multi-modal large language models","created":"2024-12-13","cited_by_count":2,"area":"mllm"},{"id":"2505.08971","title":"Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training","created":"2025-05-13","cited_by_count":2,"area":"mllm"},{"id":"2506.07399","title":"MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems","created":"2025-06-09","cited_by_count":2,"area":"mllm"},{"id":"2508.10016","title":"Training-Free Multimodal Large Language Model Orchestration","created":"2025-08-06","cited_by_count":2,"area":"mllm"},{"id":"2509.11071","title":"The System Description of CPS Team for Track on Driving with Language of CVPR 2024 Autonomous Grand Challenge","created":"2025-09-14","cited_by_count":2,"area":"mllm"},{"id":"2208.14649","title":"DetailCLIP: Injecting Image Details into CLIP's Feature Space","created":"2022-08-31","cited_by_count":1,"area":"mllm"},{"id":"2503.11360","title":"PARIC: Probabilistic Attention Regularization for Language Guided Image Classification from Pre-trained Vison Language Models","created":"2025-03-14","cited_by_count":1,"area":"mllm"},{"id":"2509.14571","title":"VisMoDAl: Visual Analytics for Evaluating and Improving Corruption Robustness of Vision-Language Models","created":"2025-09-18","cited_by_count":1,"area":"mllm"},{"id":"2406.00971","title":"MiniGPT-Reverse-Designing: Predicting Image Adjustments Utilizing MiniGPT-4","created":"2024-06-03","cited_by_count":0,"area":"mllm"},{"id":"2412.03871","title":"CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance","created":"2024-12-05","cited_by_count":0,"area":"mllm"},{"id":"2506.15201","title":"Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models","created":"2025-06-18","cited_by_count":0,"area":"mllm"},{"id":"2507.13761","title":"Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models","created":"2025-07-18","cited_by_count":0,"area":"mllm"},{"id":"2601.12809","title":"Left-Right Symmetry Breaking in CLIP-style Vision-Language Models Trained on Synthetic Spatial-Relation Data","created":"2026-01-19","cited_by_count":0,"area":"mllm"},{"id":"2603.06141","title":"Spatial Colour Mixing Illusions as a Perception Stress Test for Vision-Language Models","created":"2026-03-06","cited_by_count":0,"area":"mllm"},{"id":"2604.18444","title":"ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification","created":"2026-04-20","cited_by_count":0,"area":"mllm"},{"id":"2606.22488","title":"SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments","created":"2026-06-21","cited_by_count":0,"area":"mllm"}],"next_cursor":null}