{"total":90,"rows":[{"id":"2308.12966","title":"Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond","created":"2023-08-24","cited_by_count":2224,"area":"mllm"},{"id":"2306.14824","title":"Kosmos-2: Grounding Multimodal Large Language Models to the World","created":"2023-06-26","cited_by_count":1089,"area":"mllm"},{"id":"2306.13549","title":"A Survey on Multimodal Large Language Models","created":"2023-06-23","cited_by_count":909,"area":"mllm"},{"id":"2311.16922","title":"Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding","created":"2023-11-28","cited_by_count":688,"area":"mllm"},{"id":"2210.01936","title":"When and why vision-language models behave like bags-of-words, and what to do about it?","created":"2022-10-04","cited_by_count":610,"area":"mllm"},{"id":"2310.00754","title":"Analyzing and Mitigating Object Hallucination in Large Vision-Language Models","created":"2023-10-01","cited_by_count":316,"area":"mllm"},{"id":"2401.13601","title":"MM-LLMs: Recent Advances in MultiModal Large Language Models","created":"2024-01-24","cited_by_count":278,"area":"mllm"},{"id":"2202.09061","title":"VLP: A Survey on Vision-Language Pre-training","created":"2022-02-18","cited_by_count":159,"area":"mllm"},{"id":"2311.03287","title":"Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges","created":"2023-11-06","cited_by_count":131,"area":"mllm"},{"id":"2312.06968","title":"Hallucination Augmented Contrastive Learning for Multimodal Large Language Model","created":"2023-12-12","cited_by_count":121,"area":"mllm"},{"id":"2206.07643","title":"Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone","created":"2022-06-15","cited_by_count":109,"area":"mllm"},{"id":"2204.14095","title":"PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining","created":"2022-04-29","cited_by_count":104,"area":"mllm"},{"id":"2303.05657","title":"Tag2Text: Guiding Vision-Language Model via Image Tagging","created":"2023-03-10","cited_by_count":86,"area":"mllm"},{"id":"2210.09996","title":"Perceptual Grouping in Contrastive Vision-Language Models","created":"2022-10-18","cited_by_count":82,"area":"mllm"},{"id":"2208.02515","title":"Fine-Grained Semantically Aligned Vision-Language Pre-Training","created":"2022-08-04","cited_by_count":68,"area":"mllm"},{"id":"2209.15517","title":"Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study","created":"2022-09-30","cited_by_count":66,"area":"mllm"},{"id":"2210.07795","title":"EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning","created":"2022-10-14","cited_by_count":56,"area":"mllm"},{"id":"2305.17530","title":"PuMer: Pruning and Merging Tokens for Efficient Vision Language Models","created":"2023-05-27","cited_by_count":53,"area":"mllm"},{"id":"2312.00081","title":"Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding","created":"2023-11-30","cited_by_count":46,"area":"mllm"},{"id":"2406.11171","title":"SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations","created":"2024-06-17","cited_by_count":42,"area":"mllm"},{"id":"2306.08832","title":"Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding","created":"2023-06-15","cited_by_count":41,"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":"2306.00917","title":"Vocabulary-free Image Classification","created":"2023-06-01","cited_by_count":35,"area":"mllm"},{"id":"2305.13812","title":"Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality","created":"2023-05-23","cited_by_count":32,"area":"mllm"},{"id":"2205.11169","title":"PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models","created":"2022-05-23","cited_by_count":30,"area":"mllm"},{"id":"2211.12914","title":"Open-vocabulary Attribute Detection","created":"2022-11-23","cited_by_count":29,"area":"mllm"},{"id":"2212.09737","title":"Position-guided Text Prompt for Vision-Language Pre-training","created":"2022-12-19","cited_by_count":27,"area":"mllm"},{"id":"2308.11971","title":"EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE","created":"2023-08-23","cited_by_count":25,"area":"mllm"},{"id":"2409.17958","title":"The Hard Positive Truth about Vision-Language Compositionality","created":"2024-09-26","cited_by_count":22,"area":"mllm"},{"id":"2308.12898","title":"Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?","created":"2023-08-24","cited_by_count":21,"area":"mllm"},{"id":"2210.04135","title":"VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment","created":"2022-10-09","cited_by_count":20,"area":"mllm"},{"id":"2405.19547","title":"CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning","created":"2024-05-29","cited_by_count":20,"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":"2410.07593","title":"A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks","created":"2024-10-10","cited_by_count":18,"area":"mllm"},{"id":"2505.14361","title":"Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives","created":"2025-05-20","cited_by_count":18,"area":"mllm"},{"id":"2206.07699","title":"Write and Paint: Generative Vision-Language Models are Unified Modal Learners","created":"2022-06-15","cited_by_count":17,"area":"mllm"},{"id":"2406.00670","title":"Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation","created":"2024-06-02","cited_by_count":17,"area":"mllm"},{"id":"2310.03291","title":"Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction","created":"2023-10-05","cited_by_count":15,"area":"mllm"},{"id":"2311.17095","title":"Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models","created":"2023-11-28","cited_by_count":15,"area":"mllm"},{"id":"2410.03176","title":"Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models","created":"2024-10-04","cited_by_count":15,"area":"mllm"},{"id":"2402.17510","title":"Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning","created":"2024-02-27","cited_by_count":14,"area":"mllm"},{"id":"2407.14412","title":"DEAL: Disentangle and Localize Concept-level Explanations for VLMs","created":"2024-07-19","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":"2404.05621","title":"MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning","created":"2024-04-08","cited_by_count":13,"area":"mllm"},{"id":"2502.14113","title":"Object-centric Binding in Contrastive Language-Image Pretraining","created":"2025-02-19","cited_by_count":12,"area":"mllm"},{"id":"2205.15237","title":"VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models","created":"2022-05-30","cited_by_count":11,"area":"mllm"},{"id":"2208.09374","title":"VLMAE: Vision-Language Masked Autoencoder","created":"2022-08-19","cited_by_count":11,"area":"mllm"},{"id":"2301.01893","title":"GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods","created":"2023-01-05","cited_by_count":11,"area":"mllm"},{"id":"2312.06112","title":"MAFA: Managing False Negatives for Vision-Language Pre-training","created":"2023-12-11","cited_by_count":11,"area":"mllm"},{"id":"2308.03151","title":"Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models","created":"2023-08-06","cited_by_count":10,"area":"mllm"},{"id":"2211.15398","title":"Leveraging per Image-Token Consistency for Vision-Language Pre-training","created":"2022-11-20","cited_by_count":9,"area":"mllm"},{"id":"2303.14038","title":"Accelerating Vision-Language Pretraining with Free Language Modeling","created":"2023-03-24","cited_by_count":9,"area":"mllm"},{"id":"2308.11194","title":"ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data","created":"2023-08-22","cited_by_count":9,"area":"mllm"},{"id":"2503.08216","title":"Attention Hijackers: Detect and Disentangle Attention Hijacking in LVLMs for Hallucination Mitigation","created":"2025-03-11","cited_by_count":9,"area":"mllm"},{"id":"2404.10864","title":"Vocabulary-free Image Classification and Semantic Segmentation","created":"2024-04-16","cited_by_count":8,"area":"mllm"},{"id":"2408.01228","title":"The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models","created":"2024-08-02","cited_by_count":8,"area":"mllm"},{"id":"2209.06954","title":"Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering","created":"2022-09-14","cited_by_count":7,"area":"mllm"},{"id":"2305.15033","title":"SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models","created":"2023-05-24","cited_by_count":7,"area":"mllm"},{"id":"2505.12343","title":"Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models","created":"2025-05-18","cited_by_count":7,"area":"mllm"},{"id":"2308.16689","title":"ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation","created":"2023-08-31","cited_by_count":6,"area":"mllm"},{"id":"2412.09353","title":"Causal Graphical Models for Vision-Language Compositional Understanding","created":"2024-12-12","cited_by_count":6,"area":"mllm"},{"id":"2303.01239","title":"MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering","created":"2023-03-02","cited_by_count":5,"area":"mllm"},{"id":"2307.08504","title":"BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization","created":"2023-07-17","cited_by_count":5,"area":"mllm"},{"id":"2308.03475","title":"COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment","created":"2023-08-07","cited_by_count":5,"area":"mllm"},{"id":"2504.13123","title":"Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training","created":"2025-04-17","cited_by_count":5,"area":"mllm"},{"id":"2506.09883","title":"3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation","created":"2025-06-11","cited_by_count":5,"area":"mllm"},{"id":"2405.10160","title":"PriorCLIP: Visual Prior Guided Vision-Language Model for Remote Sensing Image-Text Retrieval","created":"2024-05-16","cited_by_count":4,"area":"mllm"},{"id":"2410.11639","title":"Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models","created":"2024-10-15","cited_by_count":4,"area":"mllm"},{"id":"2207.12994","title":"V$^2$L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval","created":"2022-07-26","cited_by_count":3,"area":"mllm"},{"id":"2312.08846","title":"TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training","created":"2023-12-14","cited_by_count":3,"area":"mllm"},{"id":"2508.04469","title":"FrEVL: Leveraging Frozen Pretrained Embeddings for Efficient Vision-Language Understanding","created":"2025-08-06","cited_by_count":2,"area":"mllm"},{"id":"2508.10955","title":"Empowering Multimodal LLMs with External Tools: A Comprehensive Survey","created":"2025-08-14","cited_by_count":2,"area":"mllm"},{"id":"2511.06653","title":"HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment","created":"2025-11-10","cited_by_count":2,"area":"mllm"},{"id":"2207.08333","title":"Towards the Human Global Context: Does the Vision-Language Model Really Judge Like a Human Being?","created":"2022-07-18","cited_by_count":1,"area":"mllm"},{"id":"2403.00249","title":"Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training","created":"2024-03-01","cited_by_count":1,"area":"mllm"},{"id":"2409.08206","title":"ComAlign: Compositional Alignment in Vision-Language Models","created":"2024-09-12","cited_by_count":1,"area":"mllm"},{"id":"2502.03230","title":"Efficient Vision Language Model Fine-tuning for Text-based Person Anomaly Search","created":"2025-02-05","cited_by_count":1,"area":"mllm"},{"id":"2506.09691","title":"Adding simple structure at inference improves Vision-Language Compositionality","created":"2025-06-11","cited_by_count":1,"area":"mllm"},{"id":"2507.14024","title":"Moodifier: MLLM-Enhanced Emotion-Driven Image Editing","created":"2025-07-18","cited_by_count":1,"area":"mllm"},{"id":"2512.07302","title":"Towards Accurate UAV Image Perception: Guiding Vision-Language Models with Stronger Task Prompts","created":"2025-12-08","cited_by_count":1,"area":"mllm"},{"id":"2603.06999","title":"TrajPred: Trajectory-Conditioned Joint Embedding Prediction for Surgical Instrument-Tissue Interaction Recognition in Vision-Language Models","created":"2026-03-07","cited_by_count":1,"area":"mllm"},{"id":"2604.11496","title":"Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference","created":"2026-04-13","cited_by_count":1,"area":"mllm"},{"id":"2606.13288","title":"Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality","created":"2026-06-11","cited_by_count":1,"area":"mllm"},{"id":"2303.05313","title":"Refined Vision-Language Modeling for Fine-grained Multi-modal Pre-training","created":"2023-03-09","cited_by_count":0,"area":"mllm"},{"id":"2407.20114","title":"FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysis","created":"2024-07-29","cited_by_count":0,"area":"mllm"},{"id":"2409.14963","title":"Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language Models","created":"2024-09-23","cited_by_count":0,"area":"mllm"},{"id":"2502.15079","title":"Can Hallucination Correction Improve Video-Language Alignment?","created":"2025-02-20","cited_by_count":0,"area":"mllm"},{"id":"2604.08337","title":"InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding","created":"2026-04-09","cited_by_count":0,"area":"mllm"},{"id":"2608.26722","title":"UniGeo: A Multi-modal Large Language Model for Text-Guided Cross-View Geo-Localization","created":"2026-08-27","cited_by_count":0,"area":"mllm"},{"id":"2610.14976","title":"Metric-Driven Reinforcement Learning for Object Hallucination Reduction in LVLM-Based Image Captioning","created":"2026-10-10","cited_by_count":0,"area":"mllm"}],"next_cursor":null}