Cover Image

SpatialLM: Training Large Language Models for Structured Indoor Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mao, Yongsen, Zhong, Junhao, Fang, Chuan, Zheng, Jia, Tang, Rui, Zhu, Hao, Tan, Ping, Zhou, Zihan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SPATIALGEN: Layout-guided 3D Indoor Scene Generation
by: Fang, Chuan, et al.
Published: (2025)

DarwinLM: Evolutionary Structured Pruning of Large Language Models
by: Tang, Shengkun, et al.
Published: (2025)

Design and Implementation of a Psychiatry Resident Training System Based on Large Language Models
by: Zhong, Zhenguang, et al.
Published: (2025)

GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models
by: Wang, Ziyang, et al.
Published: (2026)

FaithLM: Towards Faithful Explanations for Large Language Models
by: Chuang, Yu-Neng, et al.
Published: (2024)

LM-Gaussian: Boost Sparse-view 3D Gaussian Splatting with Large Model Priors
by: Yu, Hanyang, et al.
Published: (2024)

AssemLM: Spatial Reasoning Multimodal Large Language Models for Robotic Assembly
by: Jing, Zhi, et al.
Published: (2026)

KEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Model
by: Zhang, Kai, et al.
Published: (2025)

JudgeLM: Fine-tuned Large Language Models are Scalable Judges
by: Zhu, Lianghui, et al.
Published: (2023)

From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach
by: Wang, Xilin, et al.
Published: (2024)

Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems
by: Lu, Ning, et al.
Published: (2024)

Replicating ReLM Results: Validating Large Language Models with ReLM
by: Adamson, Reece, et al.
Published: (2025)

Ultralow Lattice Thermal Conductivity Induced by Quasi-Chain Configuration in Rb2Se3
by: Jia, Tiantian, et al.
Published: (2025)

DSpAST: Disentangled Representations for Spatial Audio Reasoning with Large Language Models
by: Wilkinghoff, Kevin, et al.
Published: (2025)

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training
by: Shi, Weijie, et al.
Published: (2025)

Extracting Visual Facts from Intermediate Layers for Mitigating Hallucinations in Multimodal Large Language Models
by: Zhou, Haoran, et al.
Published: (2025)

EvoLM: In Search of Lost Language Model Training Dynamics
by: Qi, Zhenting, et al.
Published: (2025)

CataLM: Empowering Catalyst Design Through Large Language Models
by: Wang, Ludi, et al.
Published: (2024)

InternLM-Law: An Open Source Chinese Legal Large Language Model
by: Fei, Zhiwei, et al.
Published: (2024)

DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models
by: Zhang, Zili, et al.
Published: (2024)

Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
by: Vashurin, Roman, et al.
Published: (2024)

Early Stopping Chain-of-thoughts in Large Language Models
by: Mao, Minjia, et al.
Published: (2025)

ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning
by: Zhang, Yiming, et al.
Published: (2026)

Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
by: Fang, Zihan, et al.
Published: (2024)

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
by: Han, Chi, et al.
Published: (2023)

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution
by: Chen, Chen, et al.
Published: (2025)

Conda: Column-Normalized Adam for Training Large Language Models Faster
by: Wang, Junjie, et al.
Published: (2025)

ToM-LM: Delegating Theory of Mind Reasoning to External Symbolic Executors in Large Language Models
by: Tang, Weizhi, et al.
Published: (2024)

SoupLM: Model Integration in Large Language and Multi-Modal Models
by: Bai, Yue, et al.
Published: (2024)

Beyond Semantics: Rediscovering Spatial Awareness in Vision-Language Models
by: Qi, Jianing, et al.
Published: (2025)

SaulLM-7B: A pioneering Large Language Model for Law
by: Colombo, Pierre, et al.
Published: (2024)

BadTemplate: A Training-Free Backdoor Attack via Chat Template Against Large Language Models
by: Wang, Zihan, et al.
Published: (2026)

PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs
by: Huang, Yuting, et al.
Published: (2026)

AntigenLM: Structure-Aware DNA Language Modeling for Influenza
by: Pei, Yue, et al.
Published: (2026)

How Do Document Parsers Break? Auditing Structural Vulnerability in Document Intelligence
by: Chen, Yue, et al.
Published: (2026)

Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support
by: Chen, Jun-Qi, et al.
Published: (2026)

Enhancing Spatial Reasoning in Large Language Models for Metal-Organic Frameworks Structure Prediction
by: Pan, Mianzhi, et al.
Published: (2026)

A Survey on Training-free Alignment of Large Language Models
by: Pan, Birong, et al.
Published: (2025)

CogLM: Tracking Cognitive Development of Large Language Models
by: Wang, Xinglin, et al.
Published: (2024)

IoT-LM: Large Multisensory Language Models for the Internet of Things
by: Mo, Shentong, et al.
Published: (2024)