{"total":53,"rows":[{"id":"2109.01134","title":"Learning to Prompt for Vision-Language Models","created":"2021-09-02","cited_by_count":2281,"area":"mllm"},{"id":"2111.07783","title":"FILIP: Fine-grained Interactive Language-Image Pre-Training","created":"2021-11-09","cited_by_count":627,"area":"mllm"},{"id":"2211.13977","title":"CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels","created":"2022-11-25","cited_by_count":181,"area":"mllm"},{"id":"2204.03649","title":"Unsupervised Prompt Learning for Vision-Language Models","created":"2022-04-07","cited_by_count":127,"area":"mllm"},{"id":"2403.02469","title":"Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review","created":"2024-03-04","cited_by_count":125,"area":"mllm"},{"id":"2305.05726","title":"Vision-Language Models in Remote Sensing: Current Progress and Future Trends","created":"2023-05-09","cited_by_count":93,"area":"mllm"},{"id":"2412.08635","title":"Multimodal Latent Language Modeling with Next-Token Diffusion","created":"2024-12-11","cited_by_count":48,"area":"mllm"},{"id":"2206.08919","title":"VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix","created":"2022-06-17","cited_by_count":45,"area":"mllm"},{"id":"2405.10255","title":"When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models","created":"2024-05-16","cited_by_count":43,"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":"2304.02560","title":"VicTR: Video-conditioned Text Representations for Activity Recognition","created":"2023-04-05","cited_by_count":28,"area":"mllm"},{"id":"2403.16998","title":"Understanding Long Videos with Multimodal Language Models","created":"2024-03-25","cited_by_count":25,"area":"mllm"},{"id":"2411.02564","title":"Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models","created":"2024-11-04","cited_by_count":22,"area":"mllm"},{"id":"2401.06129","title":"Distilling Vision-Language Models on Millions of Videos","created":"2024-01-11","cited_by_count":20,"area":"mllm"},{"id":"2409.18991","title":"Surveying the MLLM Landscape: A Meta-Review of Current Surveys","created":"2024-09-17","cited_by_count":20,"area":"mllm"},{"id":"2204.13867","title":"Vision-Language Pre-Training for Boosting Scene Text Detectors","created":"2022-04-29","cited_by_count":18,"area":"mllm"},{"id":"2210.17322","title":"Generative Negative Text Replay for Continual Vision-Language Pretraining","created":"2022-10-31","cited_by_count":18,"area":"mllm"},{"id":"2505.16326","title":"ChemMLLM: Chemical Multimodal Large Language Model","created":"2025-05-22","cited_by_count":17,"area":"mllm"},{"id":"2410.02155","title":"From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities","created":"2024-10-03","cited_by_count":16,"area":"mllm"},{"id":"2303.14396","title":"IFSeg: Image-free Semantic Segmentation via Vision-Language Model","created":"2023-03-25","cited_by_count":15,"area":"mllm"},{"id":"2412.06774","title":"Visual Lexicon: Rich Image Features in Language Space","created":"2024-12-09","cited_by_count":12,"area":"mllm"},{"id":"2412.08443","title":"POINTS1.5: Building a Vision-Language Model towards Real World Applications","created":"2024-12-11","cited_by_count":12,"area":"mllm"},{"id":"2411.03313","title":"Classification Done Right for Vision-Language Pre-Training","created":"2024-11-05","cited_by_count":10,"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":"2506.23639","title":"Unified Multimodal Understanding via Byte-Pair Visual Encoding","created":"2025-06-30","cited_by_count":9,"area":"mllm"},{"id":"2401.17186","title":"Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning","created":"2024-01-30","cited_by_count":8,"area":"mllm"},{"id":"2209.06103","title":"VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models","created":"2022-09-12","cited_by_count":6,"area":"mllm"},{"id":"2312.07553","title":"Hijacking Context in Large Multi-modal Models","created":"2023-12-07","cited_by_count":6,"area":"mllm"},{"id":"2407.07024","title":"Exploring Scalability of Self-Training for Open-Vocabulary Temporal Action Localization","created":"2024-07-09","cited_by_count":6,"area":"mllm"},{"id":"2209.02982","title":"Improving the Cross-Lingual Generalisation in Visual Question Answering","created":"2022-09-07","cited_by_count":5,"area":"mllm"},{"id":"2307.03254","title":"Vision Language Transformers: A Survey","created":"2023-07-06","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":"2201.02772","title":"A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval","created":"2022-01-08","cited_by_count":4,"area":"mllm"},{"id":"2206.11091","title":"Generalizing Multimodal Pre-training into Multilingual via Language Acquisition","created":"2022-05-29","cited_by_count":3,"area":"mllm"},{"id":"2305.07019","title":"Musketeer: Joint Training for Multi-task Vision Language Model with Task Explanation Prompts","created":"2023-05-11","cited_by_count":3,"area":"mllm"},{"id":"2603.00732","title":"UniHM: Unified Dexterous Hand Manipulation with Vision Language Model","created":"2026-02-28","cited_by_count":3,"area":"mllm"},{"id":"2605.17954","title":"A More Word-like Image Tokenization for MLLMs","created":"2026-05-18","cited_by_count":3,"area":"mllm"},{"id":"2505.15373","title":"RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation","created":"2025-05-21","cited_by_count":2,"area":"mllm"},{"id":"2604.15756","title":"TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models","created":"2026-04-17","cited_by_count":2,"area":"mllm"},{"id":"2307.07409","title":"KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization","created":"2023-07-10","cited_by_count":1,"area":"mllm"},{"id":"2503.22145","title":"Tokenization of Gaze Data","created":"2025-03-28","cited_by_count":1,"area":"mllm"},{"id":"2506.12447","title":"CLIP-HandID: Vision-Language Model for Hand-Based Person Identification","created":"2025-06-14","cited_by_count":1,"area":"mllm"},{"id":"2508.19366","title":"Grounding the Ungrounded: A Spectral-Graph Framework for Quantifying Hallucinations in Multimodal LLMs","created":"2025-08-26","cited_by_count":1,"area":"mllm"},{"id":"2509.13676","title":"Re-purposing SAM into Efficient Visual Projectors for MLLM-Based Referring Image Segmentation","created":"2025-09-17","cited_by_count":1,"area":"mllm"},{"id":"2510.18703","title":"Exploring a Unified Vision-Centric Contrastive Alternatives on Multi-Modal Web Documents","created":"2025-10-21","cited_by_count":1,"area":"mllm"},{"id":"2608.30760","title":"PRACTICE: From Experience to Expertise in Self-Evolving Embodied Agents","created":"2026-08-31","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":"2505.04637","title":"Adaptive Token Boundaries: Integrating Human Chunking Mechanisms into Multimodal LLMs","created":"2025-05-03","cited_by_count":0,"area":"mllm"},{"id":"2511.05885","title":"An item is worth one token in Multimodal Large Language Models-based Sequential Recommendation","created":"2025-11-08","cited_by_count":0,"area":"mllm"},{"id":"2602.12286","title":"Mind the Gap No More: Achieving Zero-Gap Multimodal Integration via One Tokenizer","created":"2026-01-21","cited_by_count":0,"area":"mllm"},{"id":"2607.27699","title":"RefineSVG: Visual Feedback-Driven Reinforcement Learning for Image-to-SVG Generation","created":"2026-07-30","cited_by_count":0,"area":"mllm"},{"id":"2608.07861","title":"How Much Does It Cost to Answer My Question? Benchmarking Cloud VLM-based VQA Systems","created":"2026-08-08","cited_by_count":0,"area":"mllm"},{"id":"2608.23143","title":"An end-to-end-trained vision-language model for native-language prostate pathology report generation","created":"2026-08-24","cited_by_count":0,"area":"mllm"}],"next_cursor":null}