{"total":292,"rows":[{"id":"2504.10479","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","created":"2025-04-14","cited_by_count":1834,"area":null},{"id":"2412.05271","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","created":"2024-12-06","cited_by_count":1599,"area":"lr"},{"id":"2508.18265","title":"InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency","created":"2025-08-25","cited_by_count":1510,"area":"lr"},{"id":"2503.20215","title":"Qwen2.5-Omni Technical Report","created":"2025-03-26","cited_by_count":736,"area":"lr"},{"id":"2505.14362","title":"DeepEyes: Incentivizing \"Thinking with Images\" via Reinforcement Learning","created":"2025-05-20","cited_by_count":410,"area":"lr"},{"id":"2509.23661","title":"LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training","created":"2025-09-28","cited_by_count":244,"area":"mllm"},{"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":"2604.15804","title":"Qwen3.5-Omni Technical Report","created":"2026-04-17","cited_by_count":174,"area":"moe"},{"id":"2508.11630","title":"Thyme: Think Beyond Images","created":"2025-08-15","cited_by_count":167,"area":"lr"},{"id":"2502.04326","title":"WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs","created":"2025-02-06","cited_by_count":155,"area":"mllm"},{"id":"2511.05271","title":"DeepEyesV2: Toward Agentic Multimodal Model","created":"2025-11-07","cited_by_count":125,"area":"agents"},{"id":"2509.07969","title":"Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search","created":"2025-09-09","cited_by_count":120,"area":"mllm"},{"id":"2506.03569","title":"MiMo-VL Technical Report","created":"2025-06-04","cited_by_count":115,"area":"lr"},{"id":"2412.07755","title":"SAT: Dynamic Spatial Aptitude Training for Multimodal Language Models","created":"2024-12-10","cited_by_count":114,"area":"mllm"},{"id":"2411.16044","title":"ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration","created":"2024-11-25","cited_by_count":103,"area":"mllm"},{"id":"2505.15436","title":"Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs","created":"2025-05-21","cited_by_count":96,"area":"lr"},{"id":"2410.16261","title":"Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance","created":"2024-10-21","cited_by_count":94,"area":"mllm"},{"id":"2505.04921","title":"Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models","created":"2025-05-08","cited_by_count":90,"area":"lr"},{"id":"2502.10391","title":"MM-RLHF: The Next Step Forward in Multimodal LLM Alignment","created":"2025-02-14","cited_by_count":83,"area":"mllm"},{"id":"2511.21395","title":"Monet: Reasoning in Latent Visual Space Beyond Images and Language","created":"2025-11-26","cited_by_count":82,"area":"lr"},{"id":"2605.18740","title":"Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation","created":"2026-05-18","cited_by_count":77,"area":"mllm"},{"id":"2411.15296","title":"MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs","created":"2024-11-22","cited_by_count":72,"area":"mllm"},{"id":"2511.19418","title":"Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens","created":"2025-11-24","cited_by_count":71,"area":"lr"},{"id":"2507.07999","title":"Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology","created":"2025-07-10","cited_by_count":69,"area":null},{"id":"2505.02835","title":"R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning","created":"2025-05-05","cited_by_count":65,"area":"mllm"},{"id":"2505.14671","title":"UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens","created":"2025-05-20","cited_by_count":56,"area":null},{"id":"2506.04207","title":"Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning","created":"2025-06-04","cited_by_count":53,"area":"lr"},{"id":"2411.19325","title":"GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks","created":"2024-11-28","cited_by_count":51,"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":"2602.11858","title":"Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception","created":"2026-02-12","cited_by_count":50,"area":"mllm"},{"id":"2505.20272","title":"Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learning","created":"2025-05-26","cited_by_count":49,"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":"2504.08748","title":"A Survey of Multimodal Retrieval-Augmented Generation","created":"2025-03-26","cited_by_count":37,"area":"rag"},{"id":"2508.21148","title":"A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers","created":"2025-08-28","cited_by_count":37,"area":"agents"},{"id":"2509.25541","title":"Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play","created":"2025-09-29","cited_by_count":37,"area":"mllm"},{"id":"2511.23369","title":"SimScale: Learning to Drive via Real-World Simulation at Scale","created":"2025-11-28","cited_by_count":36,"area":null},{"id":"2503.07588","title":"When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning","created":"2025-03-10","cited_by_count":35,"area":"mllm"},{"id":"2512.24330","title":"SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning","created":"2025-12-30","cited_by_count":33,"area":"lr"},{"id":"2505.05456","title":"SITE: towards Spatial Intelligence Thorough Evaluation","created":"2025-05-08","cited_by_count":29,"area":null},{"id":"2503.19903","title":"Scaling Vision Pre-Training to 4K Resolution","created":"2025-03-25","cited_by_count":28,"area":null},{"id":"2512.02395","title":"Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch","created":"2025-12-02","cited_by_count":27,"area":"agents"},{"id":"2510.08480","title":"Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools","created":"2025-10-09","cited_by_count":26,"area":"mllm"},{"id":"2512.16584","title":"Sketch-in-Latents: Eliciting Unified Reasoning in MLLMs","created":"2025-12-18","cited_by_count":25,"area":"lr"},{"id":"2504.03641","title":"MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models","created":"2025-04-04","cited_by_count":24,"area":"lr"},{"id":"2503.01222","title":"Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG","created":"2025-03-03","cited_by_count":23,"area":"mllm"},{"id":"2504.15037","title":"Scaling and Beyond: Advancing Spatial Reasoning in MLLMs Requires New Recipes","created":"2025-04-21","cited_by_count":22,"area":"lr"},{"id":"2509.15235","title":"ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding","created":"2025-09-17","cited_by_count":22,"area":"mllm"},{"id":"2511.02779","title":"When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought","created":"2025-11-04","cited_by_count":21,"area":"lr"},{"id":"2511.12609","title":"Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data","created":"2025-11-16","cited_by_count":21,"area":"moe"},{"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":"2506.21710","title":"FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering","created":"2025-06-26","cited_by_count":20,"area":"lr"},{"id":"2502.18906","title":"VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model","created":"2025-02-26","cited_by_count":19,"area":"lr"},{"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":"2505.21333","title":"MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios","created":"2025-05-27","cited_by_count":18,"area":"mllm"},{"id":"2508.07871","title":"CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning","created":"2025-08-11","cited_by_count":18,"area":"mllm"},{"id":"2508.09210","title":"MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models","created":"2025-08-11","cited_by_count":17,"area":"mllm"},{"id":"2510.00054","title":"HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling","created":"2025-09-28","cited_by_count":17,"area":"lr"},{"id":"2511.03929","title":"NVIDIA Nemotron Nano V2 VL","created":"2025-11-06","cited_by_count":17,"area":null},{"id":"2512.12772","title":"JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation","created":"2025-12-14","cited_by_count":17,"area":"lr"},{"id":"2503.04543","title":"Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model","created":"2025-03-06","cited_by_count":16,"area":"lr"},{"id":"2504.15362","title":"LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception","created":"2025-04-21","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":"2511.04668","title":"SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding","created":"2025-11-06","cited_by_count":16,"area":"lr"},{"id":"2511.07403","title":"SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards","created":"2025-11-10","cited_by_count":16,"area":"lr"},{"id":"2509.16127","title":"BaseReward: A Strong Baseline for Multimodal Reward Model","created":"2025-09-19","cited_by_count":15,"area":"mllm"},{"id":"2511.21025","title":"CaptionQA: Is Your Caption as Useful as the Image Itself?","created":"2025-11-26","cited_by_count":15,"area":null},{"id":"2512.17436","title":"Xiaomi MiMo-VL-Miloco Technical Report","created":"2025-12-19","cited_by_count":15,"area":"lr"},{"id":"2410.07553","title":"COMMA: A Communicative Multimodal Multi-Agent Benchmark","created":"2024-10-10","cited_by_count":14,"area":"agents"},{"id":"2505.23522","title":"OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data","created":"2025-05-29","cited_by_count":14,"area":null},{"id":"2507.05920","title":"High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning","created":"2025-07-08","cited_by_count":14,"area":"lr"},{"id":"2507.19634","title":"MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks","created":"2025-07-25","cited_by_count":14,"area":"mllm"},{"id":"2604.08545","title":"Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models","created":"2026-04-09","cited_by_count":14,"area":"agents"},{"id":"2503.14504","title":"Aligning Multimodal LLM with Human Preference: A Survey","created":"2025-03-18","cited_by_count":13,"area":"mllm"},{"id":"2512.05111","title":"ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning","created":"2025-12-04","cited_by_count":13,"area":"lr"},{"id":"2505.19000","title":"VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization","created":"2025-05-25","cited_by_count":12,"area":"lr"},{"id":"2512.07580","title":"When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs","created":"2025-12-08","cited_by_count":12,"area":"inference"},{"id":"2602.01851","title":"How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editing","created":"2026-02-02","cited_by_count":12,"area":null},{"id":"2602.22766","title":"Imagination Helps Visual Reasoning, But Not Yet in Latent Space","created":"2026-02-26","cited_by_count":12,"area":"lr"},{"id":"2505.15952","title":"VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance","created":"2025-05-21","cited_by_count":11,"area":"mllm"},{"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":"2510.01304","title":"Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models","created":"2025-10-01","cited_by_count":11,"area":"lr"},{"id":"2510.24285","title":"ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Model","created":"2025-10-28","cited_by_count":11,"area":"mllm"},{"id":"2511.20460","title":"Look Where It Matters: Training-Free Ultra-HR Remote Sensing VQA via Adaptive Zoom Search","created":"2025-11-25","cited_by_count":11,"area":null},{"id":"2512.17319","title":"A Benchmark for Ultra-High-Resolution Remote Sensing MLLMs","created":"2025-12-19","cited_by_count":11,"area":"lr"},{"id":"2601.05600","title":"SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes","created":"2026-01-09","cited_by_count":11,"area":"lr"},{"id":"2606.25319","title":"V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning","created":"2026-06-24","cited_by_count":11,"area":"lr"},{"id":"2410.04778","title":"MM-R$^3$: On (In-)Consistency of Vision-Language Models (VLMs)","created":"2024-10-07","cited_by_count":10,"area":"mllm"},{"id":"2502.05092","title":"Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMs","created":"2025-02-07","cited_by_count":10,"area":"mllm"},{"id":"2510.04560","title":"ContextNav: Towards Agentic Multimodal In-Context Learning","created":"2025-10-06","cited_by_count":10,"area":"mllm"},{"id":"2510.16641","title":"MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models","created":"2025-10-18","cited_by_count":10,"area":null},{"id":"2601.02316","title":"DatBench: Discriminative, Faithful, and Efficient VLM Evaluations","created":"2026-01-05","cited_by_count":10,"area":null},{"id":"2607.24904","title":"Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model","created":"2026-07-27","cited_by_count":10,"area":"lr"},{"id":"2503.10079","title":"Information Density Principle for MLLM Benchmarks","created":"2025-03-13","cited_by_count":9,"area":"mllm"},{"id":"2508.04852","title":"VER-Bench: Evaluating MLLMs on Reasoning with Fine-Grained Visual Evidence","created":"2025-08-06","cited_by_count":9,"area":"lr"},{"id":"2512.02361","title":"VACoT: Rethinking Visual Data Augmentation with VLMs","created":"2025-12-02","cited_by_count":9,"area":"lr"},{"id":"2606.08719","title":"Thinking Without Images: Internalizing Visual Manipulation with On-Policy Self-Distillation","created":"2026-06-07","cited_by_count":9,"area":"lr"},{"id":"2508.03351","title":"SalQ-VLM: Fine-Grained Saliency-Guided Quantization for Vision-Language Models","created":"2025-08-05","cited_by_count":8,"area":"mllm"},{"id":"2601.19325","title":"Innovator-VL: A Multimodal Large Language Model for Scientific Discovery","created":"2026-01-27","cited_by_count":8,"area":"mllm"},{"id":"2603.03825","title":"From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning","created":"2026-03-04","cited_by_count":8,"area":"lr"},{"id":"2605.11856","title":"UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs","created":"2026-05-12","cited_by_count":8,"area":"lr"}],"next_cursor":"100"}