{"total":186,"rows":[{"id":"2406.10721","title":"RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics","created":"2024-06-15","cited_by_count":251,"area":"mllm"},{"id":"2505.23747","title":"Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence","created":"2025-05-29","cited_by_count":217,"area":"mllm"},{"id":"2502.17422","title":"MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs","created":"2025-02-24","cited_by_count":176,"area":"mllm"},{"id":"2505.20279","title":"VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction","created":"2025-05-26","cited_by_count":166,"area":"mllm"},{"id":"2406.13642","title":"SpatialBot: Precise Spatial Understanding with Vision Language Models","created":"2024-06-19","cited_by_count":152,"area":"mllm"},{"id":"2412.00493","title":"Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding","created":"2024-11-30","cited_by_count":138,"area":"mllm"},{"id":"2503.22976","title":"From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D","created":"2025-03-29","cited_by_count":138,"area":"mllm"},{"id":"2402.17766","title":"ShapeLLM: Universal 3D Object Understanding for Embodied Interaction","created":"2024-02-27","cited_by_count":137,"area":"mllm"},{"id":"2411.16537","title":"RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics","created":"2024-11-25","cited_by_count":136,"area":"mllm"},{"id":"2505.24625","title":"Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors","created":"2025-05-30","cited_by_count":120,"area":"mllm"},{"id":"2412.07755","title":"SAT: Dynamic Spatial Aptitude Training for Multimodal Language Models","created":"2024-12-10","cited_by_count":114,"area":"mllm"},{"id":"2501.18867","title":"UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent","created":"2025-01-31","cited_by_count":102,"area":"mllm"},{"id":"2411.04549","title":"Vision Language Models are In-Context Value Learners","created":"2024-11-07","cited_by_count":90,"area":"mllm"},{"id":"2503.23765","title":"STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?","created":"2025-03-31","cited_by_count":79,"area":"mllm"},{"id":"2406.20098","title":"Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs","created":"2024-06-28","cited_by_count":74,"area":"mllm"},{"id":"2505.04769","title":"Vision-Language-Action (VLA) Models: Concepts, Progress, Applications and Challenges","created":"2025-05-07","cited_by_count":74,"area":"mllm"},{"id":"2503.13111","title":"MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs","created":"2025-03-17","cited_by_count":73,"area":"mllm"},{"id":"2402.05741","title":"Real-World Robot Applications of Foundation Models: A Review","created":"2024-02-08","cited_by_count":61,"area":"mllm"},{"id":"2410.17385","title":"Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities","created":"2024-10-22","cited_by_count":59,"area":"mllm"},{"id":"2402.12058","title":"Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models","created":"2024-02-19","cited_by_count":57,"area":"mllm"},{"id":"2501.11858","title":"EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents","created":"2025-01-21","cited_by_count":57,"area":"mllm"},{"id":"2406.20095","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","created":"2024-06-28","cited_by_count":52,"area":"mllm"},{"id":"2505.17015","title":"Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models","created":"2025-05-22","cited_by_count":52,"area":"mllm"},{"id":"2411.19325","title":"GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks","created":"2024-11-28","cited_by_count":51,"area":"mllm"},{"id":"2403.12488","title":"DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM","created":"2024-03-19","cited_by_count":46,"area":"mllm"},{"id":"2601.03309","title":"VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models","created":"2026-01-06","cited_by_count":39,"area":"mllm"},{"id":"2410.10855","title":"Core Knowledge Deficits in Multi-Modal Language Models","created":"2024-10-06","cited_by_count":38,"area":"mllm"},{"id":"2511.21471","title":"SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition","created":"2025-11-26","cited_by_count":35,"area":"mllm"},{"id":"2509.13317","title":"3D Aware Region Prompted Vision Language Model","created":"2025-09-16","cited_by_count":33,"area":"mllm"},{"id":"2412.12693","title":"SPHERE: Unveiling Spatial Blind Spots in Vision-Language Models Through Hierarchical Evaluation","created":"2024-12-17","cited_by_count":31,"area":"mllm"},{"id":"2509.25413","title":"DepthLM: Metric Depth From Vision Language Models","created":"2025-09-29","cited_by_count":30,"area":"mllm"},{"id":"2508.13142","title":"Holistic Evaluation of Multimodal LLMs on Spatial Intelligence","created":"2025-08-18","cited_by_count":29,"area":"mllm"},{"id":"2502.17425","title":"Introducing Visual Perception Token into Multimodal Large Language Model","created":"2025-02-24","cited_by_count":26,"area":"mllm"},{"id":"2512.00903","title":"SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead","created":"2025-11-30","cited_by_count":26,"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":"2509.17664","title":"SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models","created":"2025-09-22","cited_by_count":25,"area":"mllm"},{"id":"2505.17012","title":"SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence","created":"2025-05-22","cited_by_count":24,"area":"mllm"},{"id":"2505.19015","title":"Can Multimodal Large Language Models Understand Spatial Relations?","created":"2025-05-25","cited_by_count":20,"area":"mllm"},{"id":"2505.24139","title":"S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation","created":"2025-05-30","cited_by_count":19,"area":"mllm"},{"id":"2503.08481","title":"PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability","created":"2025-03-11","cited_by_count":18,"area":"mllm"},{"id":"2503.13861","title":"RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving","created":"2025-03-18","cited_by_count":18,"area":"mllm"},{"id":"2509.22653","title":"See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation","created":"2025-09-26","cited_by_count":18,"area":"mllm"},{"id":"2504.15280","title":"Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs","created":"2025-04-21","cited_by_count":16,"area":"mllm"},{"id":"2412.05818","title":"SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation","created":"2024-12-08","cited_by_count":15,"area":"mllm"},{"id":"2508.19294","title":"Object Detection with Multimodal Large Vision-Language Models: An In-depth Review","created":"2025-08-25","cited_by_count":14,"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":"2508.14160","title":"RynnEC: Bringing MLLMs into Embodied World","created":"2025-08-19","cited_by_count":11,"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":"2602.06218","title":"Cross-Modal Redundancy and the Geometry of Vision-Language Embeddings","created":"2026-02-05","cited_by_count":10,"area":"mllm"},{"id":"2604.01259","title":"Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models","created":"2026-04-01","cited_by_count":10,"area":"mllm"},{"id":"2508.04059","title":"Beyond the Visible: Benchmarking Occlusion Perception in Multimodal Large Language Models","created":"2025-08-06","cited_by_count":9,"area":"mllm"},{"id":"2512.02895","title":"MindGPT-4ov: An Enhanced MLLM via a Multi-Stage Post-Training Paradigm","created":"2025-12-02","cited_by_count":9,"area":"mllm"},{"id":"2408.11748","title":"Understanding Depth and Height Perception in Large Visual-Language Models","created":"2024-08-21","cited_by_count":8,"area":"mllm"},{"id":"2507.16524","title":"Spatial 3D-LLM: Exploring Spatial Awareness in 3D Vision-Language Models","created":"2025-07-22","cited_by_count":8,"area":"mllm"},{"id":"2601.09954","title":"The Spatial Blindspot of Vision-Language Models","created":"2026-01-15","cited_by_count":8,"area":"mllm"},{"id":"2502.08317","title":"Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting","created":"2025-02-12","cited_by_count":7,"area":"mllm"},{"id":"2502.10273","title":"Probing Perceptual Constancy in Large Vision-Language Models","created":"2025-02-14","cited_by_count":7,"area":"mllm"},{"id":"2601.03590","title":"Can LLMs See Without Pixels? Benchmarking Spatial Intelligence from Textual Descriptions","created":"2026-01-07","cited_by_count":7,"area":"mllm"},{"id":"2603.06704","title":"On the Generalization Capacities of MLLMs for Spatial Intelligence","created":"2026-03-05","cited_by_count":7,"area":"mllm"},{"id":"2409.17641","title":"Scene Exploration by Vision-Language Models","created":"2024-09-26","cited_by_count":6,"area":"mllm"},{"id":"2411.15714","title":"ROOT: VLM based System for Indoor Scene Understanding and Beyond","created":"2024-11-24","cited_by_count":6,"area":"mllm"},{"id":"2505.00742","title":"Zoomer: Adaptive Image Focus Optimization for Black-box MLLM","created":"2025-04-30","cited_by_count":6,"area":"mllm"},{"id":"2505.21979","title":"Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset","created":"2025-05-28","cited_by_count":6,"area":"mllm"},{"id":"2507.20174","title":"LRR-Bench: Left, Right or Rotate? Vision-Language models Still Struggle With Spatial Understanding Tasks","created":"2025-07-27","cited_by_count":6,"area":"mllm"},{"id":"2509.15772","title":"Vision-Language Models as Differentiable Semantic and Spatial Rewards for Text-to-3D Generation","created":"2025-09-19","cited_by_count":6,"area":"mllm"},{"id":"2512.13250","title":"Toward Ambulatory Vision: Learning Visually-Grounded Active View Selection","created":"2025-12-15","cited_by_count":6,"area":"mllm"},{"id":"2606.03890","title":"OVO-S-Bench: A Hierarchical Benchmark for Streaming Spatial Intelligence in Multimodal LLMs","created":"2026-06-02","cited_by_count":6,"area":"mllm"},{"id":"2607.13429","title":"Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment","created":"2026-07-15","cited_by_count":6,"area":"mllm"},{"id":"2607.22393","title":"SceneActBench: Can Agents Act on the 3D Scenes They See?","created":"2026-07-24","cited_by_count":6,"area":"mllm"},{"id":"2409.17727","title":"Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applications","created":"2024-09-26","cited_by_count":5,"area":"mllm"},{"id":"2410.06795","title":"From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models","created":"2024-10-09","cited_by_count":5,"area":"mllm"},{"id":"2412.03002","title":"AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?","created":"2024-12-04","cited_by_count":5,"area":"mllm"},{"id":"2506.09883","title":"3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation","created":"2025-06-11","cited_by_count":5,"area":"mllm"},{"id":"2510.22067","title":"Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation","created":"2025-10-24","cited_by_count":5,"area":"mllm"},{"id":"2606.14703","title":"Gaze Heads: How VLMs Look at What They Describe","created":"2026-06-12","cited_by_count":5,"area":"mllm"},{"id":"2410.00332","title":"Vision Language Models Know Law of Conservation without Understanding More-or-Less","created":"2024-10-01","cited_by_count":4,"area":"mllm"},{"id":"2410.15863","title":"Task-oriented Robotic Manipulation with Vision Language Models","created":"2024-10-21","cited_by_count":4,"area":"mllm"},{"id":"2503.23046","title":"VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving","created":"2025-03-29","cited_by_count":4,"area":"mllm"},{"id":"2504.18738","title":"A Review of 3D Object Detection with Vision-Language Models","created":"2025-04-25","cited_by_count":4,"area":"mllm"},{"id":"2505.20444","title":"HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models","created":"2025-05-26","cited_by_count":4,"area":"mllm"},{"id":"2505.24073","title":"mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation","created":"2025-05-29","cited_by_count":4,"area":"mllm"},{"id":"2506.05146","title":"CIVET: Systematic Evaluation of Understanding in VLMs","created":"2025-06-05","cited_by_count":4,"area":"mllm"},{"id":"2509.23379","title":"CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding","created":"2025-09-27","cited_by_count":4,"area":"mllm"},{"id":"2512.22351","title":"VULCAN: Tool-Augmented Multi Agents for Iterative 3D Object Arrangement","created":"2025-12-26","cited_by_count":4,"area":"mllm"},{"id":"2603.22278","title":"The Dual Mechanisms of Spatial Variable Binding in Vision-Language Models","created":"2026-03-23","cited_by_count":4,"area":"mllm"},{"id":"2605.11307","title":"Vision2Code: A Multi-Domain Benchmark for Evaluating Image-to-Code Generation","created":"2026-05-11","cited_by_count":4,"area":"mllm"},{"id":"2605.15876","title":"Unlocking Dense Metric Depth Estimation in VLMs","created":"2026-05-15","cited_by_count":4,"area":"mllm"},{"id":"2605.29074","title":"Embodied3DBench: Benchmarking Low-Level Embodied Spatial Intelligence of Vision Language Models","created":"2026-05-27","cited_by_count":4,"area":"mllm"},{"id":"2411.06752","title":"Semantic Enhancement for Object SLAM with Heterogeneous Multimodal Large Language Model Agents","created":"2024-11-11","cited_by_count":3,"area":"mllm"},{"id":"2506.21041","title":"SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling","created":"2025-06-26","cited_by_count":3,"area":"mllm"},{"id":"2508.17290","title":"MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment","created":"2025-08-24","cited_by_count":3,"area":"mllm"},{"id":"2509.22404","title":"RAU: Reference-based Anatomical Understanding with Vision Language Models","created":"2025-09-26","cited_by_count":3,"area":"mllm"},{"id":"2604.15809","title":"Aligning What Vision-Language Models See and Perceive with Adaptive Information Flow","created":"2026-04-17","cited_by_count":3,"area":"mllm"},{"id":"2605.18621","title":"CrossView Suite: Harnessing Cross-view Spatial Intelligence of MLLMs with Dataset, Model and Benchmark","created":"2026-05-18","cited_by_count":3,"area":"mllm"},{"id":"2605.23898","title":"SPACENUM: Revisiting Spatial Numerical Understanding in VLMs","created":"2026-05-22","cited_by_count":3,"area":"mllm"},{"id":"2605.30307","title":"Grounded 3D-Aware Spatial Vision-Language Modeling","created":"2026-05-28","cited_by_count":3,"area":"mllm"},{"id":"2503.14161","title":"CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models","created":"2025-03-18","cited_by_count":2,"area":"mllm"},{"id":"2503.15035","title":"GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback","created":"2025-03-19","cited_by_count":2,"area":"mllm"},{"id":"2505.03821","title":"Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models","created":"2025-05-03","cited_by_count":2,"area":"mllm"},{"id":"2510.04991","title":"Efficient Navigation in Unknown Indoor Environments with Vision-Language Models","created":"2025-10-06","cited_by_count":2,"area":"mllm"}],"next_cursor":"100"}