{"total":102,"rows":[{"id":"2403.14624","title":"MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?","created":"2024-03-21","cited_by_count":586,"area":"mllm"},{"id":"2407.07895","title":"LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models","created":"2024-07-10","cited_by_count":584,"area":"mllm"},{"id":"2311.07575","title":"SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models","created":"2023-11-13","cited_by_count":286,"area":"mllm"},{"id":"2401.13601","title":"MM-LLMs: Recent Advances in MultiModal Large Language Models","created":"2024-01-24","cited_by_count":278,"area":"mllm"},{"id":"2312.06742","title":"Honeybee: Locality-enhanced Projector for Multimodal LLM","created":"2023-12-11","cited_by_count":197,"area":"mllm"},{"id":"2312.03700","title":"OneLLM: One Framework to Align All Modalities with Language","created":"2023-12-06","cited_by_count":187,"area":"mllm"},{"id":"2401.16822","title":"EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain","created":"2024-01-30","cited_by_count":184,"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":"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":"2402.12451","title":"The Revolution of Multimodal Large Language Models: A Survey","created":"2024-02-19","cited_by_count":137,"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":"2312.00438","title":"Dolphins: Multimodal Language Model for Driving","created":"2023-12-01","cited_by_count":124,"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":"2501.01428","title":"GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models","created":"2025-01-02","cited_by_count":109,"area":"mllm"},{"id":"2312.14074","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","created":"2023-12-21","cited_by_count":95,"area":"mllm"},{"id":"2310.02251","title":"Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving","created":"2023-10-03","cited_by_count":89,"area":"mllm"},{"id":"2312.02980","title":"GPT4Point: A Unified Framework for Point-Language Understanding and Generation","created":"2023-12-05","cited_by_count":71,"area":"mllm"},{"id":"2501.01163","title":"3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer","created":"2025-01-02","cited_by_count":68,"area":"mllm"},{"id":"2504.01901","title":"Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness","created":"2025-04-02","cited_by_count":63,"area":"mllm"},{"id":"2405.10255","title":"When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models","created":"2024-05-16","cited_by_count":43,"area":"mllm"},{"id":"2411.16856","title":"SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE","created":"2024-11-25","cited_by_count":39,"area":"mllm"},{"id":"2412.01292","title":"LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences","created":"2024-12-02","cited_by_count":38,"area":"mllm"},{"id":"2506.01853","title":"ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding","created":"2025-06-02","cited_by_count":38,"area":"mllm"},{"id":"2406.07549","title":"A3VLM: Actionable Articulation-Aware Vision Language Model","created":"2024-06-11","cited_by_count":33,"area":"mllm"},{"id":"2509.13317","title":"3D Aware Region Prompted Vision Language Model","created":"2025-09-16","cited_by_count":33,"area":"mllm"},{"id":"2501.02430","title":"FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance","created":"2025-01-05","cited_by_count":30,"area":"mllm"},{"id":"2401.17221","title":"MouSi: Poly-Visual-Expert Vision-Language Models","created":"2024-01-30","cited_by_count":24,"area":"mllm"},{"id":"2412.17811","title":"ChatGarment: Garment Estimation, Generation and Editing via Large Language Models","created":"2024-12-23","cited_by_count":23,"area":"mllm"},{"id":"2506.07966","title":"SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence","created":"2025-06-09","cited_by_count":23,"area":"mllm"},{"id":"2311.08172","title":"Vision-Language Instruction Tuning: A Review and Analysis","created":"2023-11-14","cited_by_count":17,"area":"mllm"},{"id":"2501.07819","title":"3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding","created":"2025-01-14","cited_by_count":16,"area":"mllm"},{"id":"2502.09620","title":"Exploring the Potential of Encoder-free Architectures in 3D LMMs","created":"2025-02-13","cited_by_count":16,"area":"mllm"},{"id":"2402.12750","title":"Model Composition for Multimodal Large Language Models","created":"2024-02-20","cited_by_count":12,"area":"mllm"},{"id":"2512.12768","title":"CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligence","created":"2025-12-14","cited_by_count":10,"area":"mllm"},{"id":"2404.03836","title":"PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal Model","created":"2024-04-04","cited_by_count":9,"area":"mllm"},{"id":"2405.18937","title":"Kestrel: 3D Multimodal LLM for Part-Aware Grounded Description","created":"2024-05-29","cited_by_count":9,"area":"mllm"},{"id":"2503.10529","title":"PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models","created":"2025-03-13","cited_by_count":8,"area":"mllm"},{"id":"2505.00156","title":"V3LMA: Visual 3D-enhanced Language Model for Autonomous Driving","created":"2025-04-30","cited_by_count":7,"area":"mllm"},{"id":"2511.13647","title":"Part-X-MLLM: Part-aware 3D Multimodal Large Language Model","created":"2025-11-17","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":"2406.11840","title":"LLaNA: Large Language and NeRF Assistant","created":"2024-06-17","cited_by_count":6,"area":"mllm"},{"id":"2503.07663","title":"Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs","created":"2025-03-08","cited_by_count":6,"area":"mllm"},{"id":"2502.15888","title":"Understanding and Evaluating Hallucinations in 3D Visual Language Models","created":"2025-02-18","cited_by_count":5,"area":"mllm"},{"id":"2505.17110","title":"Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling","created":"2025-05-21","cited_by_count":5,"area":"mllm"},{"id":"2506.07575","title":"Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models","created":"2025-06-09","cited_by_count":5,"area":"mllm"},{"id":"2506.09935","title":"LEO-VL: Efficient Scene Representation for Scalable 3D Vision-Language Learning","created":"2025-06-11","cited_by_count":5,"area":"mllm"},{"id":"2508.14264","title":"Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models","created":"2025-08-19","cited_by_count":5,"area":"mllm"},{"id":"2602.03890","title":"4DPC$^2$hat: Towards Dynamic Point Cloud Understanding with Failure-Aware Bootstrapping","created":"2026-02-03","cited_by_count":5,"area":"mllm"},{"id":"2505.21079","title":"Uni3D-MoE: Scalable Multimodal 3D Scene Understanding via Mixture of Experts","created":"2025-05-27","cited_by_count":4,"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":"2408.00550","title":"Mitigating Multilingual Hallucination in Large Vision-Language Models","created":"2024-08-01","cited_by_count":3,"area":"mllm"},{"id":"2510.07636","title":"PIT-QMM: A Large Multimodal Model For No-Reference Point Cloud Quality Assessment","created":"2025-10-09","cited_by_count":3,"area":"mllm"},{"id":"2601.21798","title":"CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models","created":"2026-01-29","cited_by_count":3,"area":"mllm"},{"id":"2605.16745","title":"EVA01: Unified Native 3D Understanding and Generation via Mixture-of-Transformers","created":"2026-05-16","cited_by_count":3,"area":"mllm"},{"id":"2404.14678","title":"3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset","created":"2024-04-23","cited_by_count":2,"area":"mllm"},{"id":"2506.04788","title":"Towards LLM-Centric Multimodal Fusion: A Survey on Integration Strategies and Techniques","created":"2025-06-05","cited_by_count":2,"area":"mllm"},{"id":"2507.09334","title":"Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding","created":"2025-07-12","cited_by_count":2,"area":"mllm"},{"id":"2509.03635","title":"Reg3D: Reconstructive Geometry Instruction Tuning for 3D Scene Understanding","created":"2025-09-03","cited_by_count":2,"area":"mllm"},{"id":"2512.03874","title":"OmniDexVLG: Learning Dexterous Grasp Generation from Vision Language Model-Guided Grasp Semantics, Taxonomy and Functional Affordance","created":"2025-12-03","cited_by_count":2,"area":"mllm"},{"id":"2602.09638","title":"VideoAfford: Grounding 3D Affordance from Human-Object-Interaction Videos via Multimodal Large Language Model","created":"2026-02-10","cited_by_count":2,"area":"mllm"},{"id":"2602.22601","title":"$\\phi$-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal Models","created":"2026-02-26","cited_by_count":2,"area":"mllm"},{"id":"2602.22716","title":"SoPE: Spherical Coordinate-Based Positional Embedding for Enhancing Spatial Perception of 3D LVLMs","created":"2026-02-26","cited_by_count":2,"area":"mllm"},{"id":"2603.00412","title":"PointAlign: Feature-Level Alignment Regularization for 3D Vision-Language Models","created":"2026-02-28","cited_by_count":2,"area":"mllm"},{"id":"2603.09173","title":"Point Cloud as a Foreign Language for Multi-modal Large Language Model","created":"2026-03-10","cited_by_count":2,"area":"mllm"},{"id":"2603.27507","title":"Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM","created":"2026-03-29","cited_by_count":2,"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":"2507.20110","title":"NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding","created":"2025-07-27","cited_by_count":1,"area":"mllm"},{"id":"2511.12452","title":"DenseAnnotate: Enabling Scalable Dense Caption Collection for Images and 3D Scenes via Spoken Descriptions","created":"2025-11-16","cited_by_count":1,"area":"mllm"},{"id":"2511.16454","title":"LLaVA$^3$: Representing 3D Scenes like a Cubist Painter to Boost 3D Scene Understanding of VLMs","created":"2025-11-20","cited_by_count":1,"area":"mllm"},{"id":"2512.12822","title":"Lemon: A Unified and Scalable 3D Multimodal Model for Universal Spatial Understanding","created":"2025-12-14","cited_by_count":1,"area":"mllm"},{"id":"2602.23153","title":"Efficient Encoder-Free Fourier-based 3D Large Multimodal Model","created":"2026-02-26","cited_by_count":1,"area":"mllm"},{"id":"2603.16781","title":"IOSVLM: A 3D Vision-Language Model for Unified Dental Diagnosis from Intraoral Scans","created":"2026-03-17","cited_by_count":1,"area":"mllm"},{"id":"2604.03296","title":"3D-IDE: 3D Implicit Depth Emergent","created":"2026-03-28","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":"2606.06485","title":"PAR3D: A Unified 3D-MLLM with Part-Aware Representation for Scene Understanding","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":"2606.11568","title":"4DP-QA: Scalable QA for 4D Perception in Vision Language Models","created":"2026-06-10","cited_by_count":1,"area":"mllm"},{"id":"2607.04079","title":"Seeing Once is Enough? Online Geometry-Aware Token Pruning for 3D Question Answering","created":"2026-07-05","cited_by_count":1,"area":"mllm"},{"id":"2607.19528","title":"D3VL: Understanding Driving Scenes from 3D Time Series Data and Video with Language Models","created":"2026-07-21","cited_by_count":1,"area":"mllm"},{"id":"2609.06535","title":"3DHarnessBench: Probing Agentic 3D-to-Code Capabilities of Frontier Vision-Language Models","created":"2026-09-06","cited_by_count":1,"area":"mllm"},{"id":"2609.38177","title":"Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering","created":"2026-09-29","cited_by_count":1,"area":"mllm"},{"id":"2407.08196","title":"SoupLM: Model Integration in Large Language and Multi-Modal Models","created":"2024-07-11","cited_by_count":0,"area":"mllm"},{"id":"2407.10743","title":"Scaling 3D Reasoning with LMMs to Large Robot Mission Environments Using Datagraphs","created":"2024-07-15","cited_by_count":0,"area":"mllm"},{"id":"2501.03879","title":"CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds","created":"2025-01-07","cited_by_count":0,"area":"mllm"},{"id":"2504.13995","title":"Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training","created":"2025-04-18","cited_by_count":0,"area":"mllm"},{"id":"2511.18817","title":"Disc3D: Automatic Curation of High-Quality 3D Dialog Data via Discriminative Object Referring","created":"2025-11-24","cited_by_count":0,"area":"mllm"},{"id":"2511.22125","title":"GA2-CLIP: Generic Attribute Anchor for Efficient Prompt Tuningin Video-Language Models","created":"2025-11-27","cited_by_count":0,"area":"mllm"},{"id":"2601.06464","title":"On the Adversarial Robustness of 3D Large Vision-Language Models","created":"2026-01-10","cited_by_count":0,"area":"mllm"},{"id":"2602.03533","title":"PnP-U3D: Plug-and-Play 3D Framework Bridging Autoregression and Diffusion for Unified Understanding and Generation","created":"2026-02-03","cited_by_count":0,"area":"mllm"},{"id":"2603.21584","title":"SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models","created":"2026-03-23","cited_by_count":0,"area":"mllm"},{"id":"2605.21059","title":"Multimodal LLMs under Pairwise Modalities","created":"2026-05-20","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":"2606.19828","title":"3D-PLOT-LLM: Part-Level Object Tokens for 3D Large Language Models","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":"2607.03661","title":"From Geometric Labels to Semantic Understanding of Indoor Building Components Using Multimodal Large Language Models","created":"2026-07-04","cited_by_count":0,"area":"mllm"},{"id":"2607.08798","title":"GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement","created":"2026-07-08","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":"2607.28442","title":"ViewMind3D: Modular View-Aware Inference for Training-Free 3D-QA","created":"2026-07-30","cited_by_count":0,"area":"mllm"},{"id":"2608.18009","title":"Memory Tree Guided Key Frame Querying for Efficient 3D Question Answering","created":"2026-08-18","cited_by_count":0,"area":"mllm"}],"next_cursor":"100"}