{"total":32,"rows":[{"id":"2402.17766","title":"ShapeLLM: Universal 3D Object Understanding for Embodied Interaction","created":"2024-02-27","cited_by_count":137,"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":"2503.00513","title":"Inst3D-LMM: Instance-Aware 3D Scene Understanding with Multi-modal Instruction Tuning","created":"2025-03-01","cited_by_count":51,"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":"2401.03201","title":"3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding","created":"2024-01-06","cited_by_count":32,"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":"2404.16538","title":"OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images","created":"2024-04-25","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":"2506.05318","title":"Does Your 3D Encoder Really Work? When Pretrain-SFT from 2D VLMs Meets 3D VLMs","created":"2025-06-05","cited_by_count":8,"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":"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":"2604.02289","title":"Omni123: Exploring 3D Native Foundation Models with Limited 3D Data by Unifying Text to 2D and 3D Generation","created":"2026-04-02","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":"2505.02325","title":"TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment","created":"2025-05-05","cited_by_count":2,"area":"mllm"},{"id":"2505.15373","title":"RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation","created":"2025-05-21","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":"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":"2603.22782","title":"Know3D: Prompting 3D Generation with Knowledge from Vision-Language Models","created":"2026-03-24","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":"2407.00905","title":"Learning Robust 3D Representation from CLIP via Dual Denoising","created":"2024-07-01","cited_by_count":1,"area":"mllm"},{"id":"2511.14271","title":"Let Language Constrain Geometry: Vision-Language Models as Semantic and Spatial Critics for 3D Generation","created":"2025-11-18","cited_by_count":1,"area":"mllm"},{"id":"2511.15311","title":"Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models","created":"2025-11-19","cited_by_count":1,"area":"mllm"},{"id":"2608.29285","title":"3D-MRL: Nested Multimodal 3D Representations via Matryoshka Representation Learning","created":"2026-08-29","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":"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":"2603.22070","title":"Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning","created":"2026-03-23","cited_by_count":0,"area":"mllm"},{"id":"2606.18472","title":"Domain Generalizable Adaptation of 3D Vision-Language Models via Regularized Fine-Tuning","created":"2026-06-16","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":"2607.06534","title":"CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models","created":"2026-07-07","cited_by_count":0,"area":"mllm"},{"id":"2609.05583","title":"An overview of 3D Vision-Language Models","created":"2026-09-04","cited_by_count":0,"area":"mllm"}],"next_cursor":null}