{"total":28,"rows":[{"id":"2412.03561","title":"FLAIR: VLM with Fine-grained Language-informed Image Representations","created":"2024-12-04","cited_by_count":48,"area":"mllm"},{"id":"2504.01916","title":"FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs","created":"2025-04-02","cited_by_count":23,"area":"mllm"},{"id":"2410.10034","title":"TULIP: Token-length Upgraded CLIP","created":"2024-10-13","cited_by_count":19,"area":"mllm"},{"id":"2412.01814","title":"COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training","created":"2024-12-02","cited_by_count":15,"area":"mllm"},{"id":"2412.00440","title":"Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training","created":"2024-11-30","cited_by_count":13,"area":"mllm"},{"id":"2505.09372","title":"MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment","created":"2025-05-14","cited_by_count":12,"area":"mllm"},{"id":"2407.09541","title":"MATE: Meet At The Embedding -- Connecting Images with Long Texts","created":"2024-06-26","cited_by_count":10,"area":"mllm"},{"id":"2505.24424","title":"Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning","created":"2025-05-30","cited_by_count":5,"area":"mllm"},{"id":"2508.02329","title":"VITRIX-CLIPIN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction Editing Data and Long Captions","created":"2025-08-04","cited_by_count":5,"area":"mllm"},{"id":"2503.19311","title":"DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for Alignment","created":"2025-03-25","cited_by_count":4,"area":"mllm"},{"id":"2510.18262","title":"UWBench: A Comprehensive Vision-Language Benchmark for Underwater Understanding","created":"2025-10-21","cited_by_count":4,"area":"mllm"},{"id":"2512.17621","title":"PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology","created":"2025-12-19","cited_by_count":4,"area":"mllm"},{"id":"2405.15684","title":"Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models","created":"2024-05-24","cited_by_count":3,"area":"mllm"},{"id":"2507.19362","title":"LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences","created":"2025-07-25","cited_by_count":2,"area":"mllm"},{"id":"2511.06653","title":"HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment","created":"2025-11-10","cited_by_count":2,"area":"mllm"},{"id":"2605.00809","title":"Let ViT Speak: Generative Language-Image Pre-training","created":"2026-05-01","cited_by_count":2,"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":"2512.03445","title":"Multi-Aspect Knowledge-Enhanced Medical Vision-Language Pretraining with Multi-Agent Data Generation","created":"2025-12-03","cited_by_count":1,"area":"mllm"},{"id":"2512.07128","title":"MulCLIP: A Multi-level Alignment Framework for Enhancing Fine-grained Long-context CLIP","created":"2025-12-08","cited_by_count":1,"area":"mllm"},{"id":"2602.02977","title":"Aligning Forest and Trees in Images & Long Captions for Visually Grounded Understanding","created":"2026-02-03","cited_by_count":1,"area":"mllm"},{"id":"2602.09934","title":"VersaViT: Enhancing MLLM Vision Backbones via Task-Guided Optimization","created":"2026-02-10","cited_by_count":1,"area":"mllm"},{"id":"2509.19207","title":"Long Story Short: Disentangling Compositionality and Long-Caption Understanding in Contrastive VLMs","created":"2025-09-23","cited_by_count":0,"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":"2511.16527","title":"Contrastive vision-language learning with paraphrasing and negation","created":"2025-11-20","cited_by_count":0,"area":"mllm"},{"id":"2603.24804","title":"GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining","created":"2026-03-25","cited_by_count":0,"area":"mllm"},{"id":"2608.11074","title":"CapProbe: Evaluating Detailed Image Captions via Full-Scene Dense Question Answering","created":"2026-08-11","cited_by_count":0,"area":"mllm"},{"id":"2608.25575","title":"MLLMCLIP: Feature-Level Distillation of MLLM for Robust Vision-Language Representations","created":"2026-08-26","cited_by_count":0,"area":"mllm"},{"id":"2609.16847","title":"RegRet: Enhancing Region-Level Retrieval in Large Multimodal Models","created":"2026-09-15","cited_by_count":0,"area":"mllm"}],"next_cursor":null}