{"total":30,"rows":[{"id":"2501.16411","title":"PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding","created":"2025-01-27","cited_by_count":160,"area":"mllm"},{"id":"2410.13085","title":"MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models","created":"2024-10-16","cited_by_count":85,"area":"mllm"},{"id":"2412.09530","title":"Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM","created":"2024-12-12","cited_by_count":32,"area":"mllm"},{"id":"2412.19326","title":"Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment","created":"2024-12-26","cited_by_count":29,"area":"mllm"},{"id":"2409.18142","title":"A Survey on Multimodal Benchmarks: In the Era of Large AI Models","created":"2024-09-21","cited_by_count":27,"area":"mllm"},{"id":"2505.17012","title":"SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence","created":"2025-05-22","cited_by_count":24,"area":"mllm"},{"id":"2501.05767","title":"Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models","created":"2025-01-10","cited_by_count":22,"area":"mllm"},{"id":"2410.21259","title":"AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?","created":"2024-10-28","cited_by_count":21,"area":"mllm"},{"id":"2505.21076","title":"DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding","created":"2025-05-27","cited_by_count":18,"area":"mllm"},{"id":"2603.28069","title":"MolmoPoint: Better Pointing for VLMs with Grounding Tokens","created":"2026-03-30","cited_by_count":15,"area":"mllm"},{"id":"2503.15024","title":"Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models","created":"2025-03-19","cited_by_count":13,"area":"mllm"},{"id":"2509.21789","title":"Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow","created":"2025-09-26","cited_by_count":13,"area":"mllm"},{"id":"2508.15802","title":"MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding","created":"2025-08-14","cited_by_count":12,"area":"mllm"},{"id":"2505.19031","title":"Medical Large Vision Language Models with Multi-Image Visual Ability","created":"2025-05-25","cited_by_count":8,"area":"mllm"},{"id":"2603.18472","title":"Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding","created":"2026-03-19","cited_by_count":7,"area":"mllm"},{"id":"2511.16786","title":"Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach","created":"2025-11-20","cited_by_count":3,"area":"mllm"},{"id":"2505.22396","title":"Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs","created":"2025-05-28","cited_by_count":2,"area":"mllm"},{"id":"2505.23065","title":"SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Services","created":"2025-05-29","cited_by_count":2,"area":"mllm"},{"id":"2506.18140","title":"See-in-Pairs: Reference Image-Guided Comparative Vision-Language Models for Medical Diagnosis","created":"2025-06-22","cited_by_count":2,"area":"mllm"},{"id":"2602.03454","title":"Contextualized Visual Personalization in Vision-Language Models","created":"2026-02-03","cited_by_count":2,"area":"mllm"},{"id":"2603.19466","title":"ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models","created":"2026-03-19","cited_by_count":2,"area":"mllm"},{"id":"2506.11080","title":"MANBench: Is Your Multimodal Model Smarter than Human?","created":"2025-06-04","cited_by_count":1,"area":"mllm"},{"id":"2511.03206","title":"QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models","created":"2025-11-05","cited_by_count":1,"area":"mllm"},{"id":"2603.18004","title":"Unified Spatio-Temporal Token Scoring for Efficient Video VLMs","created":"2026-03-18","cited_by_count":1,"area":"mllm"},{"id":"2605.11591","title":"Logit-Attention Divergence: Mitigating Position Bias in Multi-Image Retrieval via Attention-Guided Calibration","created":"2026-05-12","cited_by_count":1,"area":"mllm"},{"id":"2507.07574","title":"Beyond the Linear Separability Ceiling: Aligning Representations in VLMs","created":"2025-07-10","cited_by_count":0,"area":"mllm"},{"id":"2603.28662","title":"AMIGO: Agentic Multi-Image Grounding Oracle Benchmark","created":"2026-03-30","cited_by_count":0,"area":"mllm"},{"id":"2604.27389","title":"COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts","created":"2026-04-30","cited_by_count":0,"area":"mllm"},{"id":"2608.30653","title":"Fine-Grained Multi Image Object Hallucination Benchmark","created":"2026-08-31","cited_by_count":0,"area":"mllm"},{"id":"2610.15129","title":"GesBench: When and Where Do Multimodal Language Models Perceive Social Meaning?","created":"2026-10-10","cited_by_count":0,"area":"mllm"}],"next_cursor":null}