{"total":244,"rows":[{"id":"2510.18632","title":"Think with 3D: Geometric Imagination Grounded Spatial Reasoning from Limited Views","created":"2025-10-21","cited_by_count":65,"area":"lr"},{"id":"2510.13515","title":"UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning","created":"2025-10-15","cited_by_count":42,"area":null},{"id":"2512.23703","title":"Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation","created":"2025-12-29","cited_by_count":40,"area":"lr"},{"id":"2605.25979","title":"LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence","created":"2026-05-25","cited_by_count":39,"area":"mllm"},{"id":"2511.11007","title":"VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models","created":"2025-11-14","cited_by_count":37,"area":"mllm"},{"id":"2511.16334","title":"OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe","created":"2025-11-20","cited_by_count":37,"area":"lr"},{"id":"2512.02014","title":"TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models","created":"2025-12-01","cited_by_count":34,"area":null},{"id":"2601.09668","title":"STEP3-VL-10B Technical Report","created":"2026-01-14","cited_by_count":32,"area":null},{"id":"2601.21821","title":"MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods","created":"2026-01-29","cited_by_count":30,"area":"lr"},{"id":"2511.04460","title":"V-Thinker: Interactive Thinking with Images","created":"2025-11-06","cited_by_count":26,"area":"lr"},{"id":"2601.02358","title":"VINO: A Unified Visual Generator with Interleaved OmniModal Context","created":"2026-01-05","cited_by_count":26,"area":null},{"id":"2602.04804","title":"OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models","created":"2026-02-04","cited_by_count":25,"area":"inference"},{"id":"2510.10991","title":"A Survey on Agentic Multimodal Large Language Models","created":"2025-10-13","cited_by_count":23,"area":"mllm"},{"id":"2511.14582","title":"OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models","created":"2025-11-18","cited_by_count":22,"area":"inference"},{"id":"2512.21675","title":"UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture","created":"2025-12-25","cited_by_count":22,"area":"mllm"},{"id":"2512.21218","title":"Latent Implicit Visual Reasoning","created":"2025-12-24","cited_by_count":18,"area":"lr"},{"id":"2604.24763","title":"Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation","created":"2026-04-27","cited_by_count":18,"area":null},{"id":"2511.19773","title":"Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs","created":"2025-11-24","cited_by_count":17,"area":"lr"},{"id":"2511.21662","title":"Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following","created":"2025-11-26","cited_by_count":15,"area":"mllm"},{"id":"2512.04686","title":"Towards Cross-View Point Correspondence in Vision-Language Models","created":"2025-12-04","cited_by_count":14,"area":"mllm"},{"id":"2602.12205","title":"DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing","created":"2026-02-12","cited_by_count":14,"area":null},{"id":"2511.16175","title":"Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight","created":"2025-11-20","cited_by_count":13,"area":"vla"},{"id":"2604.20796","title":"LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model","created":"2026-04-22","cited_by_count":13,"area":"diffusion"},{"id":"2602.08683","title":"OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence","created":"2026-02-09","cited_by_count":12,"area":null},{"id":"2602.14974","title":"DM0: An Embodied-Native Vision-Language-Action Model towards Physical AI","created":"2026-02-16","cited_by_count":12,"area":"vla"},{"id":"2510.16598","title":"VisionSelector: End-to-End Learnable Visual Token Compression for Efficient Multimodal LLMs","created":"2025-10-18","cited_by_count":11,"area":"mllm"},{"id":"2604.04917","title":"Vero: An Open RL Recipe for General Visual Reasoning","created":"2026-04-06","cited_by_count":11,"area":"lr"},{"id":"2604.13074","title":"PersonaVLM: Long-Term Personalized Multimodal LLMs","created":"2026-03-20","cited_by_count":11,"area":"mllm"},{"id":"2512.08829","title":"InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Language Models","created":"2025-12-09","cited_by_count":10,"area":"mllm"},{"id":"2602.00471","title":"Dual Latent Memory for Visual Multi-agent System","created":"2026-01-31","cited_by_count":10,"area":null},{"id":"2603.01068","title":"LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model","created":"2026-03-01","cited_by_count":10,"area":"diffusion"},{"id":"2512.17495","title":"GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation","created":"2025-12-19","cited_by_count":9,"area":null},{"id":"2510.20812","title":"Small Drafts, Big Verdict: Information-Intensive Visual Reasoning via Speculation","created":"2025-10-23","cited_by_count":8,"area":"lr"},{"id":"2512.04810","title":"EMMA: Efficient Multimodal Understanding, Generation, and Editing with a Unified Architecture","created":"2025-12-04","cited_by_count":8,"area":null},{"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":"2602.04802","title":"VISTA-Bench: Do Vision-Language Models Really Understand Visualized Text as Well as Pure Text?","created":"2026-02-04","cited_by_count":8,"area":"mllm"},{"id":"2603.14807","title":"HiMemVLN: Enhancing Reliability of Open-Source Zero-Shot Vision-and-Language Navigation with Hierarchical Memory System","created":"2026-03-16","cited_by_count":8,"area":"agents"},{"id":"2603.27064","title":"ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding","created":"2026-03-28","cited_by_count":8,"area":"mllm"},{"id":"2606.10400","title":"Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled Benchmark","created":"2026-06-09","cited_by_count":8,"area":"mllm"},{"id":"2511.08409","title":"Faithful-First Reasoning, Planning, and Acting for Multimodal LLMs","created":"2025-11-11","cited_by_count":7,"area":"lr"},{"id":"2602.06566","title":"SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs","created":"2026-02-06","cited_by_count":7,"area":"lr"},{"id":"2512.09663","title":"IF-Bench: Benchmarking and Enhancing MLLMs for Infrared Images with Generative Visual Prompting","created":"2025-12-10","cited_by_count":6,"area":"mllm"},{"id":"2512.19234","title":"DeliveryBench: Can Agents Earn Profit in Real World?","created":"2025-12-22","cited_by_count":6,"area":"agents"},{"id":"2512.22238","title":"Masking Teacher and Reinforcing Student for Distilling Vision-Language Models","created":"2025-12-23","cited_by_count":6,"area":"mllm"},{"id":"2601.06801","title":"Thinking with Deltas: Incentivizing Reinforcement Learning via Differential Visual Reasoning Policy","created":"2026-01-11","cited_by_count":6,"area":"lr"},{"id":"2604.06912","title":"Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models","created":"2026-04-08","cited_by_count":6,"area":"mllm"},{"id":"2605.21487","title":"Uni-Edit: Intelligent Editing Is A General Task For Unified Model Tuning","created":"2026-05-20","cited_by_count":6,"area":null},{"id":"2606.06462","title":"Benchmark Everything Everywhere All at Once","created":"2026-06-04","cited_by_count":6,"area":null},{"id":"2606.24422","title":"EgoSAT: A Comprehensive Benchmark of Egocentric Streaming Interaction Understanding","created":"2026-06-23","cited_by_count":6,"area":"mllm"},{"id":"2603.00490","title":"LifeEval: A Multimodal Benchmark for Assistive AI in Egocentric Daily Life Tasks","created":"2026-02-28","cited_by_count":5,"area":"mllm"},{"id":"2603.01400","title":"Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models","created":"2026-03-02","cited_by_count":5,"area":"inference"},{"id":"2603.09677","title":"Logics-Parsing-Omni Technical Report","created":"2026-03-10","cited_by_count":5,"area":null},{"id":"2604.08120","title":"Small Vision-Language Models are Smart Compressors for Long Video Understanding","created":"2026-04-09","cited_by_count":5,"area":"mllm"},{"id":"2512.14870","title":"HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering","created":"2025-12-16","cited_by_count":4,"area":null},{"id":"2512.19554","title":"CARE What Fails: Contrastive Anchored-REflection for Verifiable Multimodal Reasoning","created":"2025-12-22","cited_by_count":4,"area":"lr"},{"id":"2601.01618","title":"Action-Sketcher: From Reasoning to Action via Visual Sketches for Long-Horizon Robotic Manipulation","created":"2026-01-04","cited_by_count":4,"area":"vla"},{"id":"2602.01173","title":"EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment","created":"2026-02-01","cited_by_count":4,"area":null},{"id":"2603.09326","title":"OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models","created":"2026-03-10","cited_by_count":4,"area":"mllm"},{"id":"2603.12265","title":"OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams","created":"2026-03-12","cited_by_count":4,"area":null},{"id":"2603.18558","title":"HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering","created":"2026-03-19","cited_by_count":4,"area":"mllm"},{"id":"2603.23864","title":"See, Remember, Explore: A Benchmark and Baselines for Streaming Spatial Reasoning","created":"2026-03-25","cited_by_count":4,"area":"lr"},{"id":"2605.00444","title":"Scaling Video Understanding via Compact Latent Multi-Agent Collaboration","created":"2026-05-01","cited_by_count":4,"area":"mllm"},{"id":"2605.00814","title":"Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs","created":"2026-05-01","cited_by_count":4,"area":"mllm"},{"id":"2606.07639","title":"MOSS-Video-Preview: Toward Real-Time Video Understanding via Cross-Attention","created":"2026-06-01","cited_by_count":4,"area":null},{"id":"2606.08464","title":"TVI-CoT: Text-Visual Interleaved Chain-of-Thought Reasoning for Multimodal Understanding","created":"2026-06-07","cited_by_count":4,"area":"lr"},{"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":"2601.04350","title":"RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation","created":"2026-01-07","cited_by_count":3,"area":null},{"id":"2602.05729","title":"Adaptive Global and Fine-Grained Perceptual Fusion for MLLM Embeddings Compatible with Hard Negative Amplification","created":"2026-02-05","cited_by_count":3,"area":null},{"id":"2602.08735","title":"From Correspondence to Actions: Human-Like Multi-Image Spatial Reasoning in Multi-modal Large Language Models","created":"2026-02-09","cited_by_count":3,"area":"lr"},{"id":"2603.08316","title":"SlowBA: An efficiency backdoor attack towards VLM-based GUI agents","created":"2026-03-09","cited_by_count":3,"area":"agents"},{"id":"2604.02020","title":"Are VLMs Lost Between Sky and Space? LinkS$^2$Bench for UAV-Satellite Dynamic Cross-View Spatial Intelligence","created":"2026-04-02","cited_by_count":3,"area":null},{"id":"2604.08456","title":"Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models","created":"2026-04-09","cited_by_count":3,"area":"mllm"},{"id":"2605.15198","title":"ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both","created":"2026-05-14","cited_by_count":3,"area":"lr"},{"id":"2605.29606","title":"HiKEY: Hierarchical Multimodal Retrieval for Open-Domain Document Question Answering","created":"2026-05-28","cited_by_count":3,"area":"rag"},{"id":"2607.15418","title":"DrawingVQA: A Real-World Benchmark for Multi-Depth Visual-Textual Reasoning on Construction Drawings","created":"2026-07-16","cited_by_count":3,"area":"lr"},{"id":"2510.02898","title":"One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework","created":"2025-10-03","cited_by_count":2,"area":null},{"id":"2511.11440","title":"Synthetic Stimuli, Real Gains: Rethinking VLM Fine-Tuning Through Fully Controlled Data Generation","created":"2025-11-14","cited_by_count":2,"area":"lr"},{"id":"2512.06281","title":"Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models","created":"2025-12-06","cited_by_count":2,"area":"mllm"},{"id":"2602.03402","title":"Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility","created":"2026-02-03","cited_by_count":2,"area":"lr"},{"id":"2602.15927","title":"Visual Memory Injection Attacks for Multi-Turn Conversations","created":"2026-02-17","cited_by_count":2,"area":"mllm"},{"id":"2603.06445","title":"What if? Emulative Simulation with World Models for Situated Reasoning","created":"2026-03-06","cited_by_count":2,"area":"wm"},{"id":"2603.09896","title":"Stepping VLMs onto the Court: Benchmarking Spatial Intelligence in Sports","created":"2026-03-10","cited_by_count":2,"area":null},{"id":"2603.12108","title":"EvoTok: A Unified Image Tokenizer via Residual Latent Evolution for Visual Understanding and Generation","created":"2026-03-12","cited_by_count":2,"area":"mllm"},{"id":"2603.12249","title":"SciMDR: Advancing Scientific Multimodal Document Reasoning","created":"2026-03-12","cited_by_count":2,"area":null},{"id":"2603.13427","title":"MIBench: Evaluating LMMs on Multimodal Interaction","created":"2026-03-13","cited_by_count":2,"area":null},{"id":"2603.14941","title":"RS-WorldModel: a Unified Model for Remote Sensing Understanding and Future Sense Forecasting","created":"2026-03-16","cited_by_count":2,"area":"wm"},{"id":"2603.15409","title":"SEA-Vision: A Multilingual Benchmark for Comprehensive Document and Scene Text Understanding in Southeast Asia","created":"2026-03-16","cited_by_count":2,"area":null},{"id":"2603.16307","title":"NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing","created":"2026-03-17","cited_by_count":2,"area":null},{"id":"2603.26646","title":"Beyond Language: Grounding Referring Expressions with Hand Pointing in Egocentric Vision","created":"2026-03-27","cited_by_count":2,"area":null},{"id":"2604.14041","title":"Seek-and-Solve: Benchmarking MLLMs for Visual Clue-Driven Reasoning in Daily Scenarios","created":"2026-04-15","cited_by_count":2,"area":"lr"},{"id":"2604.16514","title":"BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation","created":"2026-04-15","cited_by_count":2,"area":"mllm"},{"id":"2604.22575","title":"SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference","created":"2026-04-24","cited_by_count":2,"area":null},{"id":"2605.01911","title":"SurgCheck: Do Vision-Language Models Really Look at Images in Surgical VQA?","created":"2026-05-03","cited_by_count":2,"area":"mllm"},{"id":"2605.04045","title":"Audio-Visual Intelligence in Large Foundation Models","created":"2026-05-05","cited_by_count":2,"area":null},{"id":"2605.07575","title":"Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding","created":"2026-05-08","cited_by_count":2,"area":null},{"id":"2605.08560","title":"ZAYA1-VL-8B Technical Report","created":"2026-05-08","cited_by_count":2,"area":"mllm"},{"id":"2605.11477","title":"LDDR: Linear-DPP-Based Dynamic-Resolution Frame Sampling for Video MLLMs","created":"2026-05-12","cited_by_count":2,"area":"mllm"},{"id":"2605.18853","title":"INAR-VL: Input-Aware Routing for Edge-Cloud Vision-Language Inference","created":"2026-05-13","cited_by_count":2,"area":"mllm"},{"id":"2605.20247","title":"CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning","created":"2026-05-18","cited_by_count":2,"area":"moe"},{"id":"2606.18242","title":"EventDrive: Event Cameras for Vision-Language Driving Intelligence","created":"2026-06-16","cited_by_count":2,"area":"driving"}],"next_cursor":"100"}