{"total":217,"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":"2507.01006","title":"GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning","created":"2025-07-01","cited_by_count":466,"area":"lr"},{"id":"2409.17146","title":"Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models","created":"2024-09-25","cited_by_count":329,"area":"mllm"},{"id":"2501.13918","title":"Improving Video Generation with Human Feedback","created":"2025-01-23","cited_by_count":284,"area":"diffusion"},{"id":"2501.01957","title":"VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction","created":"2025-01-03","cited_by_count":197,"area":"mllm"},{"id":"2412.21059","title":"VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation","created":"2024-12-30","cited_by_count":156,"area":"alignment"},{"id":"2501.12380","title":"MMVU: Measuring Expert-Level Multi-Discipline Video Understanding","created":"2025-01-21","cited_by_count":137,"area":null},{"id":"2504.01990","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","created":"2025-03-31","cited_by_count":126,"area":"agents"},{"id":"2505.21374","title":"Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?","created":"2025-05-27","cited_by_count":118,"area":"lr"},{"id":"2409.10695","title":"Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models","created":"2024-09-16","cited_by_count":116,"area":null},{"id":"2505.05071","title":"FG-CLIP: Fine-Grained Visual and Textual Alignment","created":"2025-05-08","cited_by_count":81,"area":null},{"id":"2412.00115","title":"OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation","created":"2024-11-28","cited_by_count":77,"area":null},{"id":"2409.20566","title":"MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning","created":"2024-09-30","cited_by_count":76,"area":"mllm"},{"id":"2501.02955","title":"MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models","created":"2025-01-06","cited_by_count":70,"area":"mllm"},{"id":"2412.04383","title":"SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding","created":"2024-12-05","cited_by_count":67,"area":null},{"id":"2411.10332","title":"Number it: Temporal Grounding Videos like Flipping Manga","created":"2024-11-15","cited_by_count":65,"area":null},{"id":"2502.06734","title":"Se\\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists","created":"2025-02-10","cited_by_count":61,"area":null},{"id":"2412.10471","title":"VCA: Video Curious Agent for Long Video Understanding","created":"2024-12-12","cited_by_count":56,"area":"agents"},{"id":"2501.05952","title":"Scalable Vision Language Model Training via High Quality Data Curation","created":"2025-01-10","cited_by_count":55,"area":"mllm"},{"id":"2410.12787","title":"The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio","created":"2024-10-16","cited_by_count":53,"area":"mllm"},{"id":"2503.23771","title":"XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?","created":"2025-03-31","cited_by_count":51,"area":"mllm"},{"id":"2512.14698","title":"TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs","created":"2025-12-16","cited_by_count":50,"area":"lr"},{"id":"2501.13787","title":"Parameter-Efficient Fine-Tuning for Foundation Models","created":"2025-01-23","cited_by_count":45,"area":null},{"id":"2505.24873","title":"MiniMax-Remover: Taming Bad Noise Helps Video Object Removal","created":"2025-05-30","cited_by_count":45,"area":"diffusion"},{"id":"2502.07411","title":"EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering","created":"2025-02-11","cited_by_count":44,"area":null},{"id":"2504.07956","title":"VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning","created":"2025-04-10","cited_by_count":42,"area":"lr"},{"id":"2502.05177","title":"Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy","created":"2025-02-07","cited_by_count":39,"area":"mllm"},{"id":"2502.00425","title":"MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization","created":"2025-02-01","cited_by_count":35,"area":"mllm"},{"id":"2410.16162","title":"Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning","created":"2024-10-21","cited_by_count":34,"area":"lr"},{"id":"2411.02336","title":"MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D","created":"2024-11-04","cited_by_count":34,"area":null},{"id":"2506.03517","title":"DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models","created":"2025-06-04","cited_by_count":34,"area":"diffusion"},{"id":"2412.10439","title":"CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs","created":"2024-12-11","cited_by_count":33,"area":null},{"id":"2412.20504","title":"ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding","created":"2024-12-29","cited_by_count":33,"area":"inference"},{"id":"2501.01097","title":"EliGen: Entity-Level Controlled Image Generation with Regional Attention","created":"2025-01-02","cited_by_count":33,"area":"diffusion"},{"id":"2505.20977","title":"Evaluating and Steering Modality Preferences in Multimodal Large Language Model","created":"2025-05-27","cited_by_count":33,"area":"mllm"},{"id":"2504.10068","title":"Mavors: Multi-granularity Video Representation for Multimodal Large Language Model","created":"2025-04-14","cited_by_count":32,"area":"mllm"},{"id":"2410.09733","title":"MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models","created":"2024-10-13","cited_by_count":31,"area":"mllm"},{"id":"2411.18810","title":"All Seeds Are Not Equal: Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds","created":"2024-11-27","cited_by_count":31,"area":"diffusion"},{"id":"2411.15268","title":"ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models","created":"2024-11-22","cited_by_count":30,"area":"mllm"},{"id":"2501.03225","title":"Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation","created":"2025-01-06","cited_by_count":30,"area":"mllm"},{"id":"2501.13919","title":"Temporal Preference Optimization for Long-Form Video Understanding","created":"2025-01-23","cited_by_count":29,"area":"mllm"},{"id":"2510.27350","title":"RzenEmbed: Towards Comprehensive Multimodal Retrieval","created":"2025-10-31","cited_by_count":29,"area":"mllm"},{"id":"2506.01949","title":"IMAGHarmony: Controllable Image Editing with Consistent Object Quantity and Layout","created":"2025-06-02","cited_by_count":28,"area":"diffusion"},{"id":"2503.17709","title":"GUI-Xplore: Empowering Generalizable GUI Agents with One Exploration","created":"2025-03-22","cited_by_count":25,"area":"agents"},{"id":"2503.23733","title":"AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization","created":"2025-03-31","cited_by_count":25,"area":"mllm"},{"id":"2509.11417","title":"Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations","created":"2025-09-14","cited_by_count":25,"area":"mllm"},{"id":"2501.10360","title":"FaceXBench: Evaluating Multimodal LLMs on Face Understanding","created":"2025-01-17","cited_by_count":24,"area":"mllm"},{"id":"2502.12782","title":"VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation","created":"2025-02-18","cited_by_count":23,"area":null},{"id":"2506.04141","title":"MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos","created":"2025-06-04","cited_by_count":22,"area":"lr"},{"id":"2503.04720","title":"FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video","created":"2025-03-06","cited_by_count":21,"area":null},{"id":"2503.08221","title":"EgoBlind: Towards Egocentric Visual Assistance for the Blind","created":"2025-03-11","cited_by_count":21,"area":"mllm"},{"id":"2501.16297","title":"FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers","created":"2025-01-27","cited_by_count":20,"area":"mllm"},{"id":"2503.14140","title":"Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding","created":"2025-03-18","cited_by_count":20,"area":"mllm"},{"id":"2410.17250","title":"JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation","created":"2024-10-22","cited_by_count":19,"area":"mllm"},{"id":"2411.15041","title":"mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA","created":"2024-11-22","cited_by_count":19,"area":"mllm"},{"id":"2503.21505","title":"Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving","created":"2025-03-27","cited_by_count":19,"area":"mllm"},{"id":"2505.11454","title":"HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation","created":"2025-05-16","cited_by_count":19,"area":"mllm"},{"id":"2506.01663","title":"Zoom-Refine: Boosting High-Resolution Multimodal Understanding via Localized Zoom and Self-Refinement","created":"2025-06-02","cited_by_count":18,"area":"mllm"},{"id":"2409.14713","title":"Phantom of Latent for Large Language and Vision Models","created":"2024-09-23","cited_by_count":17,"area":null},{"id":"2412.03085","title":"Mimir: Improving Video Diffusion Models for Precise Text Understanding","created":"2024-12-04","cited_by_count":16,"area":"diffusion"},{"id":"2412.04449","title":"p-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay","created":"2024-12-05","cited_by_count":16,"area":"mllm"},{"id":"2502.01719","title":"MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation","created":"2025-02-03","cited_by_count":16,"area":"moe"},{"id":"2506.05328","title":"AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs","created":"2025-06-05","cited_by_count":16,"area":"lr"},{"id":"2410.20263","title":"EfficientEQA: An Efficient Approach to Open-Vocabulary Embodied Question Answering","created":"2024-10-26","cited_by_count":15,"area":null},{"id":"2410.05970","title":"PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling","created":"2024-10-08","cited_by_count":14,"area":"mllm"},{"id":"2504.16081","title":"Survey of Video Diffusion Models: Foundations, Implementations, and Applications","created":"2025-04-22","cited_by_count":14,"area":"diffusion"},{"id":"2506.09079","title":"VidBridge-R1: Bridging QA and Captioning for RL-based Video Understanding Models with Intermediate Proxy Tasks","created":"2025-06-10","cited_by_count":14,"area":"mllm"},{"id":"2608.27549","title":"Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning","created":"2026-08-27","cited_by_count":14,"area":"lr"},{"id":"2504.01020","title":"Shot-by-Shot: Film-Grammar-Aware Training-Free Audio Description Generation","created":"2025-04-01","cited_by_count":13,"area":null},{"id":"2504.08291","title":"DreamFuse: Adaptive Image Fusion with Diffusion Transformer","created":"2025-04-11","cited_by_count":13,"area":"diffusion"},{"id":"2506.10116","title":"ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering","created":"2025-06-11","cited_by_count":13,"area":"lr"},{"id":"2507.12956","title":"FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformers","created":"2025-07-17","cited_by_count":13,"area":"diffusion"},{"id":"2509.17336","title":"Mano Technical Report","created":"2025-09-22","cited_by_count":13,"area":"lr"},{"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":"2510.10921","title":"FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model","created":"2025-10-13","cited_by_count":13,"area":null},{"id":"2412.07147","title":"MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation","created":"2024-12-10","cited_by_count":12,"area":null},{"id":"2501.01243","title":"Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants","created":"2025-01-02","cited_by_count":12,"area":null},{"id":"2506.09229","title":"Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models","created":"2025-06-10","cited_by_count":12,"area":"diffusion"},{"id":"2507.14067","title":"VLA-Mark: A cross modal watermark for large vision-language alignment model","created":"2025-07-18","cited_by_count":12,"area":"mllm"},{"id":"2412.17574","title":"HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks","created":"2024-12-23","cited_by_count":11,"area":"mllm"},{"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":"2506.01674","title":"MotionSight: Boosting Fine-Grained Motion Understanding in Multimodal LLMs","created":"2025-06-02","cited_by_count":11,"area":"mllm"},{"id":"2601.16093","title":"SAMTok: Representing Any Mask with Two Words","created":"2026-01-22","cited_by_count":11,"area":null},{"id":"2603.24533","title":"UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience","created":"2026-03-25","cited_by_count":11,"area":"agents"},{"id":"2409.09269","title":"Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types","created":"2024-09-14","cited_by_count":10,"area":"mllm"},{"id":"2410.00324","title":"Vision Language Models See What You Want but not What You See","created":"2024-10-01","cited_by_count":10,"area":"mllm"},{"id":"2412.01822","title":"VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models","created":"2024-12-02","cited_by_count":10,"area":"mllm"},{"id":"2503.10183","title":"Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding","created":"2025-03-13","cited_by_count":10,"area":"mllm"},{"id":"2504.20468","title":"Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception","created":"2025-04-29","cited_by_count":10,"area":"mllm"},{"id":"2506.04228","title":"LayerFlow: A Unified Model for Layer-aware Video Generation","created":"2025-06-04","cited_by_count":10,"area":null},{"id":"2506.09665","title":"VideoMat: Extracting PBR Materials from Video Diffusion Models","created":"2025-06-11","cited_by_count":10,"area":"diffusion"},{"id":"2506.15681","title":"GenRecal: Generation after Recalibration from Large to Small Vision-Language Models","created":"2025-06-18","cited_by_count":10,"area":"mllm"},{"id":"2507.18300","title":"LMM-Det: Make Large Multimodal Models Excel in Object Detection","created":"2025-07-24","cited_by_count":10,"area":"mllm"},{"id":"2510.14256","title":"Identity-GRPO: Optimizing Multi-Human Identity-preserving Video Generation via Reinforcement Learning","created":"2025-10-16","cited_by_count":10,"area":null},{"id":"2410.00318","title":"Probing Mechanical Reasoning in Large Vision Language Models","created":"2024-10-01","cited_by_count":9,"area":"lr"},{"id":"2502.11651","title":"MMXU: A Multi-Modal and Multi-X-ray Understanding Dataset for Disease Progression","created":"2025-02-17","cited_by_count":9,"area":"mllm"},{"id":"2503.01887","title":"When Continue Learning Meets Multimodal Large Language Model: A Survey","created":"2025-02-27","cited_by_count":9,"area":"mllm"},{"id":"2504.10044","title":"Aligning Anime Video Generation with Human Feedback","created":"2025-04-14","cited_by_count":9,"area":"alignment"},{"id":"2505.14289","title":"EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks","created":"2025-05-20","cited_by_count":9,"area":"agents"},{"id":"2505.15435","title":"TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models","created":"2025-05-21","cited_by_count":9,"area":"mllm"}],"next_cursor":"100"}