{"total":19,"rows":[{"id":"2305.07304","title":"CLIP-Count: Towards Text-Guided Zero-Shot Object Counting","created":"2023-05-12","cited_by_count":83,"area":"mllm"},{"id":"2403.17830","title":"Assessment of Multimodal Large Language Models in Alignment with Human Values","created":"2024-03-26","cited_by_count":36,"area":"mllm"},{"id":"2403.09333","title":"Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring","created":"2024-03-14","cited_by_count":29,"area":"mllm"},{"id":"2408.17267","title":"UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios","created":"2024-08-30","cited_by_count":28,"area":"mllm"},{"id":"2605.27365","title":"LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding","created":"2026-05-26","cited_by_count":28,"area":"mllm"},{"id":"2403.07304","title":"Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models","created":"2024-03-12","cited_by_count":24,"area":"mllm"},{"id":"2412.00686","title":"LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language Models","created":"2024-12-01","cited_by_count":20,"area":"mllm"},{"id":"2510.18876","title":"Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs","created":"2025-10-21","cited_by_count":18,"area":"mllm"},{"id":"2511.17722","title":"Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions","created":"2025-11-21","cited_by_count":6,"area":"mllm"},{"id":"2603.00595","title":"UNICBench: UNIfied Counting Benchmark for MLLM","created":"2026-02-28","cited_by_count":3,"area":"mllm"},{"id":"2504.17395","title":"SDVPT: Semantic-Driven Visual Prompt Tuning for Open-World Object Counting","created":"2025-04-24","cited_by_count":2,"area":"mllm"},{"id":"2507.06679","title":"Text-promptable Object Counting via Quantity Awareness Enhancement","created":"2025-07-09","cited_by_count":2,"area":"mllm"},{"id":"2512.15254","title":"Assessing the Visual Enumeration Abilities of Specialized Counting Architectures and Vision-Language Models","created":"2025-12-17","cited_by_count":1,"area":"mllm"},{"id":"2605.10887","title":"Count Anything at Any Granularity","created":"2026-05-11","cited_by_count":1,"area":"mllm"},{"id":"2605.29579","title":"ReactBench: A Cause-Driven Benchmark for Multimodal Hallucination via Systematic Evaluation","created":"2026-05-28","cited_by_count":1,"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":"2606.17561","title":"RT-Counter: Real-Time Text-Guided Open-Vocabulary Object Counting","created":"2026-06-16","cited_by_count":0,"area":"mllm"},{"id":"2606.23835","title":"ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation","created":"2026-06-22","cited_by_count":0,"area":"mllm"},{"id":"2608.15425","title":"NumerosityVLM: A Cognitively Inspired Benchmark for Interpreting Numerosity Representations in Vision-Language Models","created":"2026-08-15","cited_by_count":0,"area":"mllm"}],"next_cursor":null}