{"total":46,"rows":[{"id":"2304.00685","title":"Vision-Language Models for Vision Tasks: A Survey","created":"2023-04-03","cited_by_count":839,"area":"mllm"},{"id":"2306.04356","title":"Fine-Grained Visual Prompting","created":"2023-06-07","cited_by_count":82,"area":"mllm"},{"id":"2303.15786","title":"HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models","created":"2023-03-28","cited_by_count":61,"area":"mllm"},{"id":"2308.14960","title":"Read-only Prompt Optimization for Vision-Language Few-shot Learning","created":"2023-08-29","cited_by_count":58,"area":"mllm"},{"id":"2309.01151","title":"EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment","created":"2023-09-03","cited_by_count":44,"area":"mllm"},{"id":"2211.02219","title":"Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models","created":"2022-11-04","cited_by_count":40,"area":"mllm"},{"id":"2402.04630","title":"LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors","created":"2024-02-07","cited_by_count":40,"area":"mllm"},{"id":"2304.04704","title":"Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition","created":"2023-04-10","cited_by_count":35,"area":"mllm"},{"id":"2311.17518","title":"The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding","created":"2023-11-29","cited_by_count":29,"area":"mllm"},{"id":"2407.13596","title":"EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing","created":"2024-07-18","cited_by_count":29,"area":"mllm"},{"id":"2407.04603","title":"AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation","created":"2024-07-05","cited_by_count":28,"area":"mllm"},{"id":"2404.00851","title":"Prompt Learning via Meta-Regularization","created":"2024-04-01","cited_by_count":26,"area":"mllm"},{"id":"2304.04512","title":"Defense-Prefix for Preventing Typographic Attacks on CLIP","created":"2023-04-10","cited_by_count":24,"area":"mllm"},{"id":"2302.00268","title":"Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection","created":"2023-02-01","cited_by_count":22,"area":"mllm"},{"id":"2310.07730","title":"Domain-Controlled Prompt Learning","created":"2023-09-30","cited_by_count":22,"area":"mllm"},{"id":"2407.11335","title":"LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction","created":"2024-07-16","cited_by_count":19,"area":"mllm"},{"id":"2208.13474","title":"Prompt Tuning with Soft Context Sharing for Vision-Language Models","created":"2022-08-29","cited_by_count":13,"area":"mllm"},{"id":"2403.16528","title":"Open-Set Recognition in the Age of Vision-Language Models","created":"2024-03-25","cited_by_count":13,"area":"mllm"},{"id":"2303.09100","title":"Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models","created":"2023-03-16","cited_by_count":12,"area":"mllm"},{"id":"2407.21465","title":"MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection","created":"2024-07-31","cited_by_count":11,"area":"mllm"},{"id":"2412.11509","title":"Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves","created":"2024-12-16","cited_by_count":10,"area":"mllm"},{"id":"2504.09480","title":"Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation","created":"2025-04-13","cited_by_count":10,"area":"mllm"},{"id":"2503.10152","title":"A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object Detection","created":"2025-03-13","cited_by_count":9,"area":"mllm"},{"id":"2503.11005","title":"Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection","created":"2025-03-14","cited_by_count":9,"area":"mllm"},{"id":"2305.09699","title":"Mobile User Interface Element Detection Via Adaptively Prompt Tuning","created":"2023-05-16","cited_by_count":8,"area":"mllm"},{"id":"2510.09867","title":"Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation","created":"2025-10-10","cited_by_count":7,"area":"mllm"},{"id":"2407.10704","title":"Quantized Prompt for Efficient Generalization of Vision-Language Models","created":"2024-07-15","cited_by_count":6,"area":"mllm"},{"id":"2312.10813","title":"Towards Efficient Vision-Language Tuning: More Information Density, More Generalizability","created":"2023-12-17","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":"2401.00268","title":"COMMA: Co-Articulated Multi-Modal Learning","created":"2023-12-30","cited_by_count":4,"area":"mllm"},{"id":"2409.06166","title":"Revisiting Prompt Pretraining of Vision-Language Models","created":"2024-09-10","cited_by_count":4,"area":"mllm"},{"id":"2411.11223","title":"Efficient Transfer Learning for Video-language Foundation Models","created":"2024-11-18","cited_by_count":4,"area":"mllm"},{"id":"2503.08906","title":"Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation","created":"2025-03-11","cited_by_count":4,"area":"mllm"},{"id":"2507.13089","title":"GLAD: Generalizable Tuning for Vision-Language Models","created":"2025-07-17","cited_by_count":3,"area":"mllm"},{"id":"2411.16722","title":"Active Prompt Learning with Vision-Language Model Priors","created":"2024-11-23","cited_by_count":2,"area":"mllm"},{"id":"2508.08644","title":"AME: Aligned Manifold Entropy for Robust Vision-Language Distillation","created":"2025-08-12","cited_by_count":2,"area":"mllm"},{"id":"2508.17417","title":"Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models","created":"2025-08-24","cited_by_count":1,"area":"mllm"},{"id":"2511.16423","title":"TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models","created":"2025-11-20","cited_by_count":1,"area":"mllm"},{"id":"2601.11910","title":"A Training-Free Guess What Vision Language Model from Snippets to Open-Vocabulary Object Detection","created":"2026-01-17","cited_by_count":1,"area":"mllm"},{"id":"2405.07921","title":"Can Better Text Semantics in Prompt Tuning Improve VLM Generalization?","created":"2024-05-13","cited_by_count":0,"area":"mllm"},{"id":"2407.08374","title":"Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Self-Regularization","created":"2024-07-11","cited_by_count":0,"area":"mllm"},{"id":"2507.05677","title":"Integrated Structural Prompt Learning for Vision-Language Models","created":"2025-07-08","cited_by_count":0,"area":"mllm"},{"id":"2507.07147","title":"Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation","created":"2025-07-09","cited_by_count":0,"area":"mllm"},{"id":"2606.22537","title":"NegAS: Negative Label Guided Attention and Scoring for Out-of-Distribution Object Detection with Vision-Language Models","created":"2026-06-21","cited_by_count":0,"area":"mllm"},{"id":"2607.09008","title":"C-GAP: Class-Aware and Online Prompting Improves Vision-Language Models on Imbalanced Classes","created":"2026-07-10","cited_by_count":0,"area":"mllm"},{"id":"2609.09462","title":"Low-Rank Prompt Learning for Vision-Language Models with Fixed-Token Bases","created":"2026-09-08","cited_by_count":0,"area":"mllm"}],"next_cursor":null}