{"total":34,"rows":[{"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":"2205.14865","title":"Prompt-aligned Gradient for Prompt Tuning","created":"2022-05-30","cited_by_count":341,"area":"mllm"},{"id":"2303.06628","title":"Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models","created":"2023-03-12","cited_by_count":112,"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":"2204.03574","title":"Learning to Compose Soft Prompts for Compositional Zero-Shot Learning","created":"2022-04-07","cited_by_count":67,"area":"mllm"},{"id":"2401.02418","title":"Learning to Prompt with Text Only Supervision for Vision-Language Models","created":"2024-01-04","cited_by_count":38,"area":"mllm"},{"id":"2311.18021","title":"Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?","created":"2023-11-29","cited_by_count":34,"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":"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":"2505.24867","title":"Time Blindness: Why Video-Language Models Can't See What Humans Can?","created":"2025-05-30","cited_by_count":18,"area":"mllm"},{"id":"2311.05729","title":"GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning","created":"2023-11-09","cited_by_count":16,"area":"mllm"},{"id":"2306.09996","title":"Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering","created":"2023-06-16","cited_by_count":14,"area":"mllm"},{"id":"2407.13851","title":"X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs","created":"2024-07-18","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":"2412.11087","title":"Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval","created":"2024-12-15","cited_by_count":13,"area":"mllm"},{"id":"2210.10841","title":"Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models","created":"2022-10-19","cited_by_count":12,"area":"mllm"},{"id":"2510.08564","title":"How to Teach Large Multimodal Models New Skills","created":"2025-10-09","cited_by_count":11,"area":"mllm"},{"id":"2403.18260","title":"Toward Interactive Regional Understanding in Vision-Large Language Models","created":"2024-03-27","cited_by_count":9,"area":"mllm"},{"id":"2305.14676","title":"GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions","created":"2023-05-24","cited_by_count":8,"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":"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":"2401.00268","title":"COMMA: Co-Articulated Multi-Modal Learning","created":"2023-12-30","cited_by_count":4,"area":"mllm"},{"id":"2502.05568","title":"Large Multimodal Models for Low-Resource Languages: A Survey","created":"2025-02-08","cited_by_count":4,"area":"mllm"},{"id":"2410.05239","title":"TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models","created":"2024-10-07","cited_by_count":3,"area":"mllm"},{"id":"2502.20292","title":"Visual Adaptive Prompting for Compositional Zero-Shot Learning","created":"2025-02-27","cited_by_count":2,"area":"mllm"},{"id":"2310.09767","title":"VLIS: Unimodal Language Models Guide Multimodal Language Generation","created":"2023-10-15","cited_by_count":1,"area":"mllm"},{"id":"2510.09253","title":"On the Robustness of Vision-Language Models in Zero-shot Privacy Classification","created":"2025-10-10","cited_by_count":1,"area":"mllm"},{"id":"2205.11100","title":"Supporting Vision-Language Model Inference with Confounder-pruning Knowledge Prompt","created":"2022-05-23","cited_by_count":0,"area":"mllm"},{"id":"2309.07760","title":"PRE: Vision-Language Prompt Learning with Reparameterization Encoder","created":"2023-09-14","cited_by_count":0,"area":"mllm"},{"id":"2502.14883","title":"How Blind and Low-Vision Individuals Prefer Large Vision-Language Model-Generated Scene Descriptions","created":"2025-02-15","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":"2508.04028","title":"Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval","created":"2025-08-06","cited_by_count":0,"area":"mllm"},{"id":"2508.18886","title":"Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language Models","created":"2025-08-26","cited_by_count":0,"area":"mllm"},{"id":"2512.21529","title":"Hierarchy-Aware Fine-Tuning of Vision-Language Models","created":"2025-12-25","cited_by_count":0,"area":"mllm"}],"next_cursor":null}