{"total":28,"rows":[{"id":"2408.12637","title":"Building and better understanding vision-language models: insights and future directions","created":"2024-08-22","cited_by_count":173,"area":"mllm"},{"id":"2406.10328","title":"From Pixels to Prose: A Large Dataset of Dense Image Captions","created":"2024-06-14","cited_by_count":54,"area":"mllm"},{"id":"2412.03561","title":"FLAIR: VLM with Fine-grained Language-informed Image Representations","created":"2024-12-04","cited_by_count":48,"area":"mllm"},{"id":"2412.08614","title":"Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning","created":"2024-12-11","cited_by_count":31,"area":"mllm"},{"id":"2503.07906","title":"Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning","created":"2025-03-10","cited_by_count":25,"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":"2502.01419","title":"Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models","created":"2025-02-03","cited_by_count":22,"area":"mllm"},{"id":"2412.15484","title":"Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage","created":"2024-12-20","cited_by_count":20,"area":"mllm"},{"id":"2506.24102","title":"DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World","created":"2025-06-30","cited_by_count":16,"area":"mllm"},{"id":"2511.21662","title":"Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following","created":"2025-11-26","cited_by_count":15,"area":"mllm"},{"id":"2511.12738","title":"Direct Visual Grounding by Directing Attention of Visual Tokens","created":"2025-11-16","cited_by_count":7,"area":"mllm"},{"id":"2410.13121","title":"Trust but Verify: Programmatic VLM Evaluation in the Wild","created":"2024-10-17","cited_by_count":5,"area":"mllm"},{"id":"2411.09018","title":"Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions","created":"2024-11-13","cited_by_count":5,"area":"mllm"},{"id":"2407.03314","title":"BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs","created":"2024-07-03","cited_by_count":2,"area":"mllm"},{"id":"2506.07631","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","created":"2025-06-09","cited_by_count":2,"area":"mllm"},{"id":"2603.04908","title":"AdaIAT: Adaptively Increasing Attention to Generated Text to Alleviate Hallucinations in LVLM","created":"2026-03-05","cited_by_count":2,"area":"mllm"},{"id":"2504.12316","title":"Data Metabolism: An Efficient Data Design Schema For Vision Language Model","created":"2025-04-10","cited_by_count":1,"area":"mllm"},{"id":"2510.19060","title":"PoSh: Using Scene Graphs To Guide LLMs-as-a-Judge For Detailed Image Descriptions","created":"2025-10-21","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":"2606.07647","title":"Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation","created":"2026-06-02","cited_by_count":1,"area":"mllm"},{"id":"2504.12315","title":"Capybara-OMNI: An Efficient Paradigm for Building Omni-Modal Language Models","created":"2025-04-10","cited_by_count":0,"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":"2603.17326","title":"FineViT: Progressively Unlocking Fine-Grained Perception with Dense Recaptions","created":"2026-03-18","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":"2605.21728","title":"BEiTScore: Reference-free Image Captioning Evaluation with an Efficient Cross-Encoder Model","created":"2026-05-20","cited_by_count":0,"area":"mllm"},{"id":"2608.11167","title":"MultiModal Code-Switching: Interleaving Visual Objects into Language for Explicit Object-Level Alignment","created":"2026-08-11","cited_by_count":0,"area":"mllm"},{"id":"2609.00591","title":"A Glance Is All You Need: Single-Pass Fine-Grained Image Captioning with SimLoss","created":"2026-09-01","cited_by_count":0,"area":"mllm"},{"id":"2609.08300","title":"Human-Centric Image Captioning with Subject-Centered Spatial Understanding","created":"2026-09-08","cited_by_count":0,"area":"mllm"}],"next_cursor":null}