{"total":39,"rows":[{"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":"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":"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":"2510.07077","title":"Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications","created":"2025-10-08","cited_by_count":84,"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":"2509.13317","title":"3D Aware Region Prompted Vision Language Model","created":"2025-09-16","cited_by_count":33,"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":"2505.17012","title":"SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence","created":"2025-05-22","cited_by_count":24,"area":"mllm"},{"id":"2602.20794","title":"VGGDrive: Empowering Vision-Language Models with Cross-View Geometric Grounding for Autonomous Driving","created":"2026-02-24","cited_by_count":20,"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":"2511.10946","title":"Abstract 3D Perception for Spatial Intelligence in Vision-Language Models","created":"2025-11-14","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":"2602.18020","title":"UAOR: Uncertainty-aware Observation Reinjection for Vision-Language-Action Models","created":"2026-02-20","cited_by_count":5,"area":"mllm"},{"id":"2604.18260","title":"Geometry-Guided 3D Visual Token Pruning for Video-Language Models","created":"2026-04-20","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":"2510.14349","title":"Vision-Centric Activation and Coordination for Multimodal Large Language Models","created":"2025-10-16","cited_by_count":3,"area":"mllm"},{"id":"2603.03739","title":"PROSPECT: Unified Streaming Vision-Language Navigation via Semantic--Spatial Fusion and Latent Predictive Representation","created":"2026-03-04","cited_by_count":3,"area":"mllm"},{"id":"2603.13119","title":"Geometry-Guided Camera Motion Understanding in VideoLLMs","created":"2026-03-13","cited_by_count":3,"area":"mllm"},{"id":"2605.08064","title":"Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering and Alignment","created":"2026-05-08","cited_by_count":2,"area":"mllm"},{"id":"2605.30561","title":"VLM3: Vision Language Models Are Native 3D Learners","created":"2026-05-28","cited_by_count":2,"area":"mllm"},{"id":"2608.07267","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","created":"2026-08-07","cited_by_count":2,"area":"mllm"},{"id":"2604.03296","title":"3D-IDE: 3D Implicit Depth Emergent","created":"2026-03-28","cited_by_count":1,"area":"mllm"},{"id":"2605.09449","title":"SpaceMind++: Toward Allocentric Cognitive Maps for Spatially Grounded Video MLLMs","created":"2026-05-10","cited_by_count":1,"area":"mllm"},{"id":"2606.05833","title":"Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models","created":"2026-06-04","cited_by_count":1,"area":"mllm"},{"id":"2606.06891","title":"Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors","created":"2026-06-05","cited_by_count":1,"area":"mllm"},{"id":"2509.20858","title":"ArchGPT: Understanding the World's Architectures with Large Multimodal Models","created":"2025-09-25","cited_by_count":0,"area":"mllm"},{"id":"2604.02870","title":"Token Warping Helps MLLMs Look from Nearby Viewpoints","created":"2026-04-03","cited_by_count":0,"area":"mllm"},{"id":"2605.20165","title":"CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models","created":"2026-05-19","cited_by_count":0,"area":"mllm"},{"id":"2606.19776","title":"Occ-VLM: Occupancy Grounded Vision Language Model for Indoor Scene Understanding","created":"2026-06-18","cited_by_count":0,"area":"mllm"},{"id":"2606.19915","title":"SpatialSV: Internalizing Interpretable 3D Spatial Awareness in MLLMs via Task-Oriented Visual Supervision","created":"2026-06-18","cited_by_count":0,"area":"mllm"},{"id":"2606.22617","title":"OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs","created":"2026-06-21","cited_by_count":0,"area":"mllm"},{"id":"2607.05348","title":"Beyond Isolated Objects: Relationship-aware Open Vocabulary Scene Understanding via 3D Scene Graph Analysis","created":"2026-07-06","cited_by_count":0,"area":"mllm"},{"id":"2607.15054","title":"Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial Understanding","created":"2026-07-16","cited_by_count":0,"area":"mllm"},{"id":"2607.21595","title":"3D-Aware VLMs with Implicit and Explicit Geometries","created":"2026-07-23","cited_by_count":0,"area":"mllm"},{"id":"2609.08224","title":"3DWay: Generalizing Robot Manipulation via 3D Consistent Waypoints","created":"2026-09-08","cited_by_count":0,"area":"mllm"},{"id":"2609.34021","title":"Position Aware Layer Queries for Test Time Training in Vision Language Models","created":"2026-09-27","cited_by_count":0,"area":"mllm"},{"id":"2609.34759","title":"PanoVLN: Towards Effective Panoramic Vision-and-Language Navigation","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2610.05664","title":"StageVLN: Spatial and Trajectory Auxiliary Guidance for Efficient Vision-Language Navigation","created":"2026-10-05","cited_by_count":0,"area":"mllm"},{"id":"2610.18478","title":"MemoryVLN: From Ego-Aware Memory Representation to Cross-Context Memory Reuse in Vision-Language Navigation","created":"2026-10-13","cited_by_count":0,"area":"mllm"}],"next_cursor":null}