{"total":18,"rows":[{"id":"2210.09263","title":"Vision-Language Pre-training: Basics, Recent Advances, and Future Trends","created":"2022-10-17","cited_by_count":117,"area":"mllm"},{"id":"2402.16846","title":"GROUNDHOG: Grounding Large Language Models to Holistic Segmentation","created":"2024-02-26","cited_by_count":70,"area":"mllm"},{"id":"2403.02969","title":"Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception","created":"2024-03-05","cited_by_count":39,"area":"mllm"},{"id":"2308.07706","title":"Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models","created":"2023-08-15","cited_by_count":28,"area":"mllm"},{"id":"2308.13177","title":"How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection","created":"2023-08-25","cited_by_count":15,"area":"mllm"},{"id":"2306.08685","title":"World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models","created":"2023-06-14","cited_by_count":10,"area":"mllm"},{"id":"2509.06321","title":"Text4Seg++: Advancing Image Segmentation via Generative Language Modeling","created":"2025-09-08","cited_by_count":9,"area":"mllm"},{"id":"2312.17345","title":"3VL: Using Trees to Improve Vision-Language Models' Interpretability","created":"2023-12-28","cited_by_count":7,"area":"mllm"},{"id":"2506.17901","title":"PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs","created":"2025-06-22","cited_by_count":5,"area":"mllm"},{"id":"2601.00998","title":"DVGBench: Implicit-to-Explicit Visual Grounding Benchmark in UAV Imagery with Large Vision-Language Models","created":"2026-01-02","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":"2407.20034","title":"MaskInversion: Localized Embeddings via Optimization of Explainability Maps","created":"2024-07-29","cited_by_count":2,"area":"mllm"},{"id":"2208.14649","title":"DetailCLIP: Injecting Image Details into CLIP's Feature Space","created":"2022-08-31","cited_by_count":1,"area":"mllm"},{"id":"2505.19242","title":"Deformable Attentive Visual Enhancement for Referring Segmentation Using Vision-Language Model","created":"2025-05-25","cited_by_count":1,"area":"mllm"},{"id":"2509.00598","title":"DGL-RSIS: Decoupling Global Spatial Context and Local Class Semantics for Training-Free Remote Sensing Image Segmentation","created":"2025-08-30","cited_by_count":0,"area":"mllm"},{"id":"2604.04473","title":"Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks","created":"2026-04-06","cited_by_count":0,"area":"mllm"},{"id":"2606.04282","title":"FindIt: A Format-Informed Visual Detection Benchmark for Generalist Multimodal LLMs","created":"2026-06-02","cited_by_count":0,"area":"mllm"},{"id":"2609.27821","title":"Groundbench: Multi-Resolution Polygon Grounding Exposes the Geometry Gap in Vision-Language Models","created":"2026-08-18","cited_by_count":0,"area":"mllm"}],"next_cursor":null}