{"total":55,"rows":[{"id":"2111.02358","title":"VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts","created":"2021-11-03","cited_by_count":425,"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":"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":"2306.01195","title":"Consistency-guided Prompt Learning for Vision-Language Models","created":"2023-06-01","cited_by_count":73,"area":"mllm"},{"id":"2209.13430","title":"UniCLIP: Unified Framework for Contrastive Language-Image Pre-training","created":"2022-09-27","cited_by_count":54,"area":"mllm"},{"id":"2111.14745","title":"A Simple Long-Tailed Recognition Baseline via Vision-Language Model","created":"2021-11-29","cited_by_count":49,"area":"mllm"},{"id":"2305.17455","title":"CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers","created":"2023-05-27","cited_by_count":44,"area":"mllm"},{"id":"2306.06354","title":"EventCLIP: Adapting CLIP for Event-based Object Recognition","created":"2023-06-10","cited_by_count":36,"area":"mllm"},{"id":"2307.03135","title":"Distilling Large Vision-Language Model with Out-of-Distribution Generalizability","created":"2023-07-06","cited_by_count":33,"area":"mllm"},{"id":"2211.13594","title":"Self-supervised vision-language pretraining for Medical visual question answering","created":"2022-11-24","cited_by_count":30,"area":"mllm"},{"id":"2305.14014","title":"CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model","created":"2023-05-23","cited_by_count":30,"area":"mllm"},{"id":"2303.02506","title":"Prismer: A Vision-Language Model with Multi-Task Experts","created":"2023-03-04","cited_by_count":28,"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":"2305.20087","title":"Too Large; Data Reduction for Vision-Language Pre-Training","created":"2023-05-31","cited_by_count":26,"area":"mllm"},{"id":"2312.02021","title":"Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learning","created":"2023-12-04","cited_by_count":20,"area":"mllm"},{"id":"2203.14395","title":"Single-Stream Multi-Level Alignment for Vision-Language Pretraining","created":"2022-03-27","cited_by_count":16,"area":"mllm"},{"id":"2303.11866","title":"Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning","created":"2023-03-21","cited_by_count":16,"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":"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":"2408.01355","title":"Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs","created":"2024-08-02","cited_by_count":14,"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":"2312.04960","title":"MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness","created":"2023-12-08","cited_by_count":12,"area":"mllm"},{"id":"2408.02192","title":"Unsupervised Domain Adaption Harnessing Vision-Language Pre-training","created":"2024-08-05","cited_by_count":12,"area":"mllm"},{"id":"2208.09374","title":"VLMAE: Vision-Language Masked Autoencoder","created":"2022-08-19","cited_by_count":11,"area":"mllm"},{"id":"2301.07236","title":"Effective End-to-End Vision Language Pretraining with Semantic Visual Loss","created":"2023-01-18","cited_by_count":10,"area":"mllm"},{"id":"2410.04778","title":"MM-R$^3$: On (In-)Consistency of Vision-Language Models (VLMs)","created":"2024-10-07","cited_by_count":10,"area":"mllm"},{"id":"2311.01441","title":"Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models","created":"2023-11-02","cited_by_count":9,"area":"mllm"},{"id":"2402.08017","title":"Lumos : Empowering Multimodal LLMs with Scene Text Recognition","created":"2024-02-12","cited_by_count":8,"area":"mllm"},{"id":"2510.23479","title":"MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding","created":"2025-10-27","cited_by_count":7,"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":"2309.08928","title":"In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval","created":"2023-09-16","cited_by_count":5,"area":"mllm"},{"id":"2408.08855","title":"DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models","created":"2024-08-16","cited_by_count":5,"area":"mllm"},{"id":"2411.16018","title":"Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models","created":"2024-11-25","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":"2308.12960","title":"Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment","created":"2023-08-24","cited_by_count":4,"area":"mllm"},{"id":"2403.15837","title":"Centered Masking for Language-Image Pre-Training","created":"2024-03-23","cited_by_count":4,"area":"mllm"},{"id":"2211.16594","title":"Exploiting Category Names for Few-Shot Classification with Vision-Language Models","created":"2022-11-29","cited_by_count":3,"area":"mllm"},{"id":"2404.10146","title":"Cross-Modal Self-Training: Aligning Images and Pointclouds to Learn Classification without Labels","created":"2024-04-15","cited_by_count":3,"area":"mllm"},{"id":"2503.02393","title":"Vision-Language Model IP Protection via Prompt-based Learning","created":"2025-03-04","cited_by_count":3,"area":"mllm"},{"id":"2211.00262","title":"Training Vision-Language Models with Less Bimodal Supervision","created":"2022-11-01","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":"2403.00376","title":"Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model","created":"2024-03-01","cited_by_count":2,"area":"mllm"},{"id":"2212.05195","title":"Uniform Masking Prevails in Vision-Language Pretraining","created":"2022-12-10","cited_by_count":1,"area":"mllm"},{"id":"2312.10613","title":"p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models","created":"2023-12-17","cited_by_count":1,"area":"mllm"},{"id":"2405.18770","title":"Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships","created":"2024-05-29","cited_by_count":1,"area":"mllm"},{"id":"2409.08381","title":"Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations","created":"2024-09-12","cited_by_count":1,"area":"mllm"},{"id":"2502.02977","title":"Efficiently Disentangling CLIP for Multi-Object Perception","created":"2025-02-05","cited_by_count":1,"area":"mllm"},{"id":"2507.09615","title":"Towards Fine-Grained Adaptation of CLIP via a Self-Trained Alignment Score","created":"2025-07-13","cited_by_count":1,"area":"mllm"},{"id":"2510.02270","title":"microCLIP: Unsupervised CLIP Adaptation via Coarse-Fine Token Fusion for Fine-Grained Image Classification","created":"2025-10-02","cited_by_count":0,"area":"mllm"},{"id":"2603.08069","title":"Synthetic Defect Image Generation for Power Line Insulator Inspection Using Multimodal Large Language Models","created":"2026-03-09","cited_by_count":0,"area":"mllm"},{"id":"2603.24275","title":"Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers","created":"2026-03-25","cited_by_count":0,"area":"mllm"},{"id":"2605.00906","title":"Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models","created":"2026-04-29","cited_by_count":0,"area":"mllm"},{"id":"2608.24934","title":"Fusing Perceptual Vision Experts with Multimodal Large Language Models for Explainable Plant Disease Diagnosis: From Benchmark Imagery to Real-World Robotic Field Validation","created":"2026-08-23","cited_by_count":0,"area":"mllm"},{"id":"2609.06967","title":"Re-calibrated Contrastive Loss for Transformation-Aware Prompt Conditioning in Vision-Language Models","created":"2026-09-07","cited_by_count":0,"area":"mllm"}],"next_cursor":null}