{"total":129,"rows":[{"id":"2204.14198","title":"Flamingo: a Visual Language Model for Few-Shot Learning","created":"2022-04-29","cited_by_count":4386,"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":"2401.15947","title":"MoE-LLaVA: Mixture of Experts for Large Vision-Language Models","created":"2024-01-29","cited_by_count":300,"area":"mllm"},{"id":"2111.08276","title":"Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts","created":"2021-11-16","cited_by_count":256,"area":"mllm"},{"id":"2403.18715","title":"Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding","created":"2024-03-27","cited_by_count":203,"area":"mllm"},{"id":"2311.13165","title":"Multimodal Large Language Models: A Survey","created":"2023-11-22","cited_by_count":195,"area":"mllm"},{"id":"2202.10936","title":"A Survey of Vision-Language Pre-Trained Models","created":"2022-02-18","cited_by_count":177,"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":"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":"2312.14115","title":"LingoQA: Visual Question Answering for Autonomous Driving","created":"2023-12-21","cited_by_count":145,"area":"mllm"},{"id":"2402.05935","title":"SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models","created":"2024-02-08","cited_by_count":131,"area":"mllm"},{"id":"2409.10197","title":"Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models","created":"2024-09-16","cited_by_count":126,"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":"2312.06968","title":"Hallucination Augmented Contrastive Learning for Multimodal Large Language Model","created":"2023-12-12","cited_by_count":121,"area":"mllm"},{"id":"2210.09263","title":"Vision-Language Pre-training: Basics, Recent Advances, and Future Trends","created":"2022-10-17","cited_by_count":117,"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":"2211.01335","title":"Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese","created":"2022-11-02","cited_by_count":109,"area":"mllm"},{"id":"2303.07226","title":"Scaling Vision-Language Models with Sparse Mixture of Experts","created":"2023-03-13","cited_by_count":88,"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":"2308.06911","title":"GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text","created":"2023-08-14","cited_by_count":82,"area":"mllm"},{"id":"2410.08202","title":"Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training","created":"2024-10-10","cited_by_count":82,"area":"mllm"},{"id":"2411.17558","title":"Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey","created":"2024-11-26","cited_by_count":76,"area":"mllm"},{"id":"2303.10431","title":"DeAR: Debiasing Vision-Language Models with Additive Residuals","created":"2023-03-18","cited_by_count":70,"area":"mllm"},{"id":"2405.19716","title":"Enhancing Large Vision Language Models with Self-Training on Image Comprehension","created":"2024-05-30","cited_by_count":70,"area":"mllm"},{"id":"2309.13625","title":"GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph","created":"2023-09-24","cited_by_count":69,"area":"mllm"},{"id":"2404.07214","title":"Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions","created":"2024-02-20","cited_by_count":68,"area":"mllm"},{"id":"2303.14302","title":"VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining","created":"2023-03-24","cited_by_count":65,"area":"mllm"},{"id":"2210.01253","title":"PLOT: Prompt Learning with Optimal Transport for Vision-Language Models","created":"2022-10-03","cited_by_count":64,"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":"2501.05952","title":"Scalable Vision Language Model Training via High Quality Data Curation","created":"2025-01-10","cited_by_count":55,"area":"mllm"},{"id":"2303.14465","title":"Equivariant Similarity for Vision-Language Foundation Models","created":"2023-03-25","cited_by_count":52,"area":"mllm"},{"id":"2305.10799","title":"MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts","created":"2023-05-18","cited_by_count":51,"area":"mllm"},{"id":"2211.11152","title":"You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model","created":"2022-11-21","cited_by_count":43,"area":"mllm"},{"id":"2210.05335","title":"MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model","created":"2022-10-11","cited_by_count":41,"area":"mllm"},{"id":"2502.06788","title":"EVEv2: Improved Baselines for Encoder-Free Vision-Language Models","created":"2025-02-10","cited_by_count":41,"area":"mllm"},{"id":"2206.01127","title":"VL-BEiT: Generative Vision-Language Pretraining","created":"2022-06-02","cited_by_count":39,"area":"mllm"},{"id":"2312.04913","title":"SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation","created":"2023-12-08","cited_by_count":39,"area":"mllm"},{"id":"2303.02483","title":"FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks","created":"2023-03-04","cited_by_count":38,"area":"mllm"},{"id":"2312.04403","title":"OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization","created":"2023-12-07","cited_by_count":37,"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":"2403.07636","title":"Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework","created":"2024-03-12","cited_by_count":27,"area":"mllm"},{"id":"2303.02489","title":"CapDet: Unifying Dense Captioning and Open-World Detection Pretraining","created":"2023-03-04","cited_by_count":26,"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":"2310.00653","title":"Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants","created":"2023-10-01","cited_by_count":25,"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":"2506.23115","title":"MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings","created":"2025-06-29","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":"2306.03932","title":"Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!","created":"2023-06-06","cited_by_count":19,"area":"mllm"},{"id":"2406.09250","title":"MirrorCheck: Efficient Adversarial Defense for Vision-Language Models","created":"2024-06-13","cited_by_count":19,"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":"2306.10159","title":"Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos","created":"2023-06-16","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":"2503.17551","title":"Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion","created":"2025-03-21","cited_by_count":15,"area":"mllm"},{"id":"2211.13437","title":"Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning","created":"2022-11-24","cited_by_count":14,"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":"2407.14093","title":"Routing Experts: Learning to Route Dynamic Experts in Multi-modal Large Language Models","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":"2507.12566","title":"Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models","created":"2025-07-16","cited_by_count":13,"area":"mllm"},{"id":"2306.07096","title":"Global and Local Semantic Completion Learning for Vision-Language Pre-training","created":"2023-06-12","cited_by_count":12,"area":"mllm"},{"id":"2306.08893","title":"LOVM: Language-Only Vision Model Selection","created":"2023-06-15","cited_by_count":12,"area":"mllm"},{"id":"2503.11265","title":"DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models","created":"2025-03-14","cited_by_count":12,"area":"mllm"},{"id":"2506.06884","title":"FREE: Fast and Robust Vision Language Models with Early Exits","created":"2025-06-07","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":"2406.19905","title":"Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model","created":"2024-06-28","cited_by_count":11,"area":"mllm"},{"id":"2501.04322","title":"Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts","created":"2025-01-08","cited_by_count":11,"area":"mllm"},{"id":"2503.01019","title":"MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations","created":"2025-03-02","cited_by_count":11,"area":"mllm"},{"id":"2312.06685","title":"Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models","created":"2023-12-09","cited_by_count":10,"area":"mllm"},{"id":"2211.12402","title":"X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks","created":"2022-11-22","cited_by_count":9,"area":"mllm"},{"id":"2309.01516","title":"MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval","created":"2023-09-04","cited_by_count":9,"area":"mllm"},{"id":"2402.08966","title":"Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays","created":"2024-02-14","cited_by_count":9,"area":"mllm"},{"id":"2403.08271","title":"Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification","created":"2024-03-13","cited_by_count":8,"area":"mllm"},{"id":"2409.02958","title":"Multi-Modal Adapter for Vision-Language Models","created":"2024-09-03","cited_by_count":8,"area":"mllm"},{"id":"2507.17436","title":"Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection","created":"2025-07-23","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":"2312.06401","title":"Compound Text-Guided Prompt Tuning via Image-Adaptive Cues","created":"2023-12-11","cited_by_count":7,"area":"mllm"},{"id":"2403.12026","title":"FlexCap: Describe Anything in Images in Controllable Detail","created":"2024-03-18","cited_by_count":7,"area":"mllm"},{"id":"2412.15251","title":"IPS: In-Prompt Process Supervision for Short Video Content Moderation","created":"2024-12-15","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":"2410.02773","title":"Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies between Model Predictions and Human Responses in VQA","created":"2024-09-17","cited_by_count":6,"area":"mllm"},{"id":"2307.03254","title":"Vision Language Transformers: A Survey","created":"2023-07-06","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":"2403.02249","title":"Non-autoregressive Sequence-to-Sequence Vision-Language Models","created":"2024-03-04","cited_by_count":5,"area":"mllm"},{"id":"2203.11480","title":"WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models","created":"2022-03-22","cited_by_count":4,"area":"mllm"},{"id":"2205.12105","title":"HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval","created":"2022-05-24","cited_by_count":4,"area":"mllm"},{"id":"2401.02137","title":"SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment","created":"2024-01-04","cited_by_count":4,"area":"mllm"},{"id":"2407.04489","title":"Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model","created":"2024-07-05","cited_by_count":4,"area":"mllm"},{"id":"2503.23312","title":"LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation","created":"2025-03-30","cited_by_count":4,"area":"mllm"},{"id":"2505.21079","title":"Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts","created":"2025-05-27","cited_by_count":4,"area":"mllm"},{"id":"2506.13055","title":"CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model","created":"2025-06-16","cited_by_count":4,"area":"mllm"},{"id":"2511.08480","title":"Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding","created":"2025-11-11","cited_by_count":4,"area":"mllm"},{"id":"2305.11769","title":"Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner","created":"2023-05-19","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":"2312.09625","title":"Weakly-Supervised 3D Visual Grounding based on Visual Language Alignment","created":"2023-12-15","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":"2306.14112","title":"Enhancing Dynamic Image Advertising with Vision-Language Pre-training","created":"2023-06-25","cited_by_count":2,"area":"mllm"},{"id":"2401.01076","title":"DialCLIP: Empowering CLIP as Multi-Modal Dialog Retriever","created":"2024-01-02","cited_by_count":2,"area":"mllm"}],"next_cursor":"100"}