{"total":101,"rows":[{"id":"2501.13106","title":"VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding","created":"2025-01-22","cited_by_count":518,"area":null},{"id":"2406.19389","title":"OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding","created":"2024-06-27","cited_by_count":127,"area":"lr"},{"id":"2504.16072","title":"Describe Anything: Detailed Localized Image and Video Captioning","created":"2025-04-22","cited_by_count":84,"area":"mllm"},{"id":"2408.08632","title":"A Survey on Benchmarks of Multimodal Large Language Models","created":"2024-08-16","cited_by_count":82,"area":"mllm"},{"id":"2410.18927","title":"SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models","created":"2024-10-24","cited_by_count":69,"area":"safety"},{"id":"2506.02161","title":"TIIF-Bench: How Does Your T2I Model Follow Your Instructions?","created":"2025-06-02","cited_by_count":69,"area":null},{"id":"2509.22642","title":"WoW: Towards a World omniscient World model Through Embodied Interaction","created":"2025-09-26","cited_by_count":67,"area":"wm"},{"id":"2405.13872","title":"Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models","created":"2024-05-22","cited_by_count":65,"area":"lr"},{"id":"2409.15310","title":"Visual Prompting in Multimodal Large Language Models: A Survey","created":"2024-09-05","cited_by_count":54,"area":"mllm"},{"id":"2411.11706","title":"MC-LLaVA: Multi-Concept Personalized Vision-Language Model","created":"2024-11-18","cited_by_count":54,"area":"mllm"},{"id":"2506.05302","title":"Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos","created":"2025-06-05","cited_by_count":51,"area":null},{"id":"2408.15769","title":"A Survey on Evaluation of Multimodal Large Language Models","created":"2024-08-28","cited_by_count":46,"area":"lr"},{"id":"2510.24514","title":"Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs","created":"2025-10-28","cited_by_count":43,"area":"lr"},{"id":"2505.09723","title":"EnerVerse-AC: Envisioning Embodied Environments with Action Condition","created":"2025-05-14","cited_by_count":42,"area":"offlinerl"},{"id":"2504.08748","title":"A Survey of Multimodal Retrieval-Augmented Generation","created":"2025-03-26","cited_by_count":37,"area":"rag"},{"id":"2407.21534","title":"ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models","created":"2024-07-31","cited_by_count":33,"area":"mllm"},{"id":"2411.18363","title":"ChatRex: Taming Multimodal LLM for Joint Perception and Understanding","created":"2024-11-27","cited_by_count":30,"area":"mllm"},{"id":"2412.12932","title":"CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models","created":"2024-12-17","cited_by_count":30,"area":"lr"},{"id":"2512.09299","title":"VABench: A Comprehensive Benchmark for Audio-Video Generation","created":"2025-12-10","cited_by_count":30,"area":null},{"id":"2407.13596","title":"EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing","created":"2024-07-18","cited_by_count":29,"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":"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":"2501.01709","title":"MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders","created":"2025-01-03","cited_by_count":26,"area":"mllm"},{"id":"2509.25373","title":"From Perception to Cognition: A Survey of Vision-Language Interactive Reasoning in Multimodal Large Language Models","created":"2025-09-29","cited_by_count":26,"area":"lr"},{"id":"2510.17801","title":"Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain","created":"2025-10-20","cited_by_count":25,"area":"mllm"},{"id":"2503.11557","title":"VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity","created":"2025-03-14","cited_by_count":23,"area":"lr"},{"id":"2504.10465","title":"Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding","created":"2025-04-14","cited_by_count":22,"area":"mllm"},{"id":"2505.20199","title":"Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking","created":"2025-05-26","cited_by_count":21,"area":"diffusion"},{"id":"2506.05287","title":"EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?","created":"2025-06-05","cited_by_count":21,"area":"mllm"},{"id":"2510.13219","title":"Prompt-based Adaptation in Large-scale Vision Models: A Survey","created":"2025-10-15","cited_by_count":21,"area":null},{"id":"2510.23603","title":"PixelRefer: A Unified Framework for Spatio-Temporal Object Referring with Arbitrary Granularity","created":"2025-10-27","cited_by_count":21,"area":"mllm"},{"id":"2406.11548","title":"AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation","created":"2024-06-17","cited_by_count":20,"area":"lr"},{"id":"2510.19400","title":"Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes","created":"2025-10-22","cited_by_count":20,"area":"lr"},{"id":"2507.19946","title":"SCALAR: Scale-wise Controllable Visual Autoregressive Learning","created":"2025-07-26","cited_by_count":18,"area":null},{"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":"2501.04670","title":"Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs","created":"2025-01-08","cited_by_count":16,"area":"lr"},{"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":"2407.08583","title":"The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective","created":"2024-07-11","cited_by_count":15,"area":"mllm"},{"id":"2510.10011","title":"MIMO: A medical vision language model with visual referring multimodal input and pixel grounding multimodal output","created":"2025-10-11","cited_by_count":15,"area":"mllm"},{"id":"2505.13928","title":"LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts","created":"2025-05-20","cited_by_count":14,"area":null},{"id":"2510.19195","title":"Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks","created":"2025-10-22","cited_by_count":14,"area":"wm"},{"id":"2509.25916","title":"VLM-FO1: Bridging the Gap Between High-Level Reasoning and Fine-Grained Perception in VLMs","created":"2025-09-30","cited_by_count":13,"area":"lr"},{"id":"2503.17736","title":"V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction","created":"2025-03-22","cited_by_count":11,"area":"mllm"},{"id":"2504.12795","title":"EarthGPT-X: A Spatial MLLM for Multi-level Multi-Source Remote Sensing Imagery Understanding with Visual Prompting","created":"2025-04-17","cited_by_count":11,"area":"lr"},{"id":"2505.17020","title":"CrossLMM: Decoupling Long Video Sequences from LMMs via Dual Cross-Attention Mechanisms","created":"2025-05-22","cited_by_count":11,"area":"mllm"},{"id":"2508.14160","title":"RynnEC: Bringing MLLMs into Embodied World","created":"2025-08-19","cited_by_count":11,"area":"mllm"},{"id":"2511.10192","title":"Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL","created":"2025-11-13","cited_by_count":11,"area":null},{"id":"2601.16093","title":"SAMTok: Representing Any Mask with Two Words","created":"2026-01-22","cited_by_count":11,"area":null},{"id":"2411.17125","title":"DOGR: Towards Versatile Visual Document Grounding and Referring","created":"2024-11-26","cited_by_count":10,"area":"mllm"},{"id":"2505.17121","title":"NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation","created":"2025-05-21","cited_by_count":10,"area":"lr"},{"id":"2506.04220","title":"Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs","created":"2025-06-04","cited_by_count":10,"area":"lr"},{"id":"2512.07348","title":"MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition","created":"2025-12-08","cited_by_count":10,"area":null},{"id":"2502.13832","title":"ArtMentor: AI-Assisted Evaluation of Artworks to Explore Multimodal Large Language Models Capabilities","created":"2025-02-19","cited_by_count":9,"area":"mllm"},{"id":"2511.14063","title":"Semantic Context Matters: Improving Conditioning for Autoregressive Models","created":"2025-11-18","cited_by_count":7,"area":null},{"id":"2511.18957","title":"Eevee: Towards Close-up High-resolution Video-based Virtual Try-on","created":"2025-11-24","cited_by_count":7,"area":null},{"id":"2508.06763","title":"SafePLUG: Empowering Multimodal LLMs with Pixel-Level Insight and Temporal Grounding for Traffic Accident Understanding","created":"2025-08-09","cited_by_count":6,"area":"mllm"},{"id":"2603.01083","title":"Can Vision Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective","created":"2026-03-01","cited_by_count":6,"area":"mllm"},{"id":"2604.11789","title":"LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation","created":"2026-04-13","cited_by_count":6,"area":"lr"},{"id":"2411.18142","title":"Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models","created":"2024-11-27","cited_by_count":5,"area":"lr"},{"id":"2505.21061","title":"LPOI: Listwise Preference Optimization for Vision Language Models","created":"2025-05-27","cited_by_count":5,"area":"mllm"},{"id":"2507.12841","title":"AnyCap Project: A Unified Framework, Dataset, and Benchmark for Controllable Omni-modal Captioning","created":"2025-07-17","cited_by_count":5,"area":null},{"id":"2510.00483","title":"MathSticks: A Benchmark for Visual Symbolic Compositional Reasoning with Matchstick Puzzles","created":"2025-10-01","cited_by_count":5,"area":"lr"},{"id":"2409.19689","title":"InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries","created":"2024-09-29","cited_by_count":4,"area":null},{"id":"2503.12999","title":"Concept-as-Tree: A Controllable Synthetic Data Framework Makes Stronger Personalized VLMs","created":"2025-03-17","cited_by_count":4,"area":"mllm"},{"id":"2506.04650","title":"Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction","created":"2025-06-05","cited_by_count":4,"area":null},{"id":"2510.03721","title":"Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models","created":"2025-10-04","cited_by_count":4,"area":"mllm"},{"id":"2510.22765","title":"Jarvis: Towards Personalized AI Assistant via Personal KV-Cache Retrieval","created":"2025-10-26","cited_by_count":4,"area":"lr"},{"id":"2511.10648","title":"Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling","created":"2025-11-13","cited_by_count":4,"area":"lr"},{"id":"2508.21809","title":"VoCap: Video Object Captioning and Segmentation from Any Prompt","created":"2025-08-29","cited_by_count":3,"area":null},{"id":"2512.18853","title":"VizDefender: Unmasking Visualization Tampering through Proactive Localization and Intent Inference","created":"2025-12-21","cited_by_count":3,"area":null},{"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":"2506.16112","title":"AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs","created":"2025-06-19","cited_by_count":2,"area":"mllm"},{"id":"2510.26495","title":"Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration","created":"2025-10-30","cited_by_count":2,"area":"lr"},{"id":"2511.18121","title":"VCU-Bridge: Hierarchical Visual Connotation Understanding via Semantic Bridging","created":"2025-11-22","cited_by_count":2,"area":"mllm"},{"id":"2512.15560","title":"GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models","created":"2025-12-17","cited_by_count":2,"area":"diffusion"},{"id":"2512.17012","title":"4D-RGPT: Toward Region-level 4D Understanding via Perceptual Distillation","created":"2025-12-18","cited_by_count":2,"area":"mllm"},{"id":"2602.10063","title":"Chain of Mindset: Reasoning with Adaptive Cognitive Modes","created":"2026-02-10","cited_by_count":2,"area":"lr"},{"id":"2602.19768","title":"TraceVision: Trajectory-Aware Vision-Language Model for Human-Like Spatial Understanding","created":"2026-02-23","cited_by_count":2,"area":"mllm"},{"id":"2603.07048","title":"Looking Back and Forth: Cross-Image Attention Calibration and Attentive Preference Learning for Multi-Image Hallucination Mitigation","created":"2026-03-07","cited_by_count":2,"area":"mllm"},{"id":"2603.08007","title":"ViSA-Enhanced Aerial VLN: A Visual-Spatial Reasoning Enhanced Framework for Aerial Vision-Language Navigation","created":"2026-03-09","cited_by_count":2,"area":"lr"},{"id":"2412.08307","title":"Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model","created":"2024-12-11","cited_by_count":1,"area":"mllm"},{"id":"2506.07196","title":"SAP-Bench: Benchmarking Multimodal Large Language Models in Surgical Action Planning","created":"2025-06-08","cited_by_count":1,"area":"mllm"},{"id":"2602.19505","title":"Test-Time Computing for Referring Multimodal Large Language Models","created":"2026-02-23","cited_by_count":1,"area":"lr"},{"id":"2604.04838","title":"Less Detail, Better Answers: Degradation-Driven Prompting for VQA","created":"2026-04-06","cited_by_count":1,"area":"mllm"},{"id":"2607.11581","title":"Actor as Its Own Critic: Unifying Region Understanding and Localization via CycleGRPO","created":"2026-07-13","cited_by_count":1,"area":"mllm"},{"id":"2607.25537","title":"Visual prompt engineering for video models","created":"2026-07-28","cited_by_count":1,"area":null},{"id":"2408.09886","title":"Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation","created":"2024-08-19","cited_by_count":0,"area":null},{"id":"2503.18854","title":"MC-LLaVA: Multi-Concept Personalized Vision-Language Model","created":"2025-03-24","cited_by_count":0,"area":"mllm"},{"id":"2507.18031","title":"ViGText: Deepfake Image Detection with Vision-Language Model Explanations and Graph Neural Networks","created":"2025-07-24","cited_by_count":0,"area":"mllm"},{"id":"2508.05053","title":"Finding Needles in Images: Can Multimodal LLMs Locate Fine Details?","created":"2025-08-07","cited_by_count":0,"area":"mllm"},{"id":"2603.03942","title":"Lightweight Visual Reasoning for Socially-Aware Robots","created":"2026-03-04","cited_by_count":0,"area":"lr"},{"id":"2603.26784","title":"HighlightBench: Benchmarking Markup-Driven Table Reasoning in Scientific Documents","created":"2026-03-25","cited_by_count":0,"area":"lr"},{"id":"2605.01827","title":"Referring Multiple Regions with Large Multimodal Models via Contextual Latent Steering","created":"2026-05-03","cited_by_count":0,"area":"mllm"},{"id":"2605.16903","title":"WOW-Seg: A Word-free Open World Segmentation Model","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2606.20888","title":"Fine-grained Human Motion Understanding with Language Models","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2606.26196","title":"From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models","created":"2026-06-24","cited_by_count":0,"area":"mllm"},{"id":"2608.01354","title":"PixVL: Self-Supervised Training of Pixel-Level MLLMs via a Unified Mask--Text Consistency Cycle","created":"2026-08-02","cited_by_count":0,"area":"mllm"},{"id":"2608.09147","title":"RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2610.09382","title":"ScribbleEdit: A Benchmark for Scribble-Only Image Editing","created":"2026-10-07","cited_by_count":0,"area":null}],"next_cursor":"100"}