Imagen de Portada

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Luo, Junyu, Wu, Bohan, Luo, Xiao, Xiao, Zhiping, Jin, Yiqiao, Tu, Rong-Cheng, Yin, Nan, Wang, Yifan, Yuan, Jingyang, Ju, Wei, Zhang, Ming
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Survey of Data-Efficient Graph Learning
por: Ju, Wei, et al.
Publicado: (2024)

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
por: Luo, Junyu, et al.
Publicado: (2024)

Rank and Align: Towards Effective Source-free Graph Domain Adaptation
por: Luo, Junyu, et al.
Publicado: (2024)

GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
por: Luo, Junyu, et al.
Publicado: (2024)

Semi-supervised Fine-tuning for Large Language Models
por: Luo, Junyu, et al.
Publicado: (2024)

Attention Bootstrapping for Multi-Modal Test-Time Adaptation
por: Zhao, Yusheng, et al.
Publicado: (2025)

Large Language Model Agent: A Survey on Methodology, Applications and Challenges
por: Luo, Junyu, et al.
Publicado: (2025)

Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval
por: Luo, Junyu, et al.
Publicado: (2025)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
por: Ju, Wei, et al.
Publicado: (2024)

Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
por: Zhao, Yusheng, et al.
Publicado: (2025)

Towards Graph Contrastive Learning: A Survey and Beyond
por: Ju, Wei, et al.
Publicado: (2024)

Embracing Large Language Models in Traffic Flow Forecasting
por: Zhao, Yusheng, et al.
Publicado: (2024)

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
por: Luo, Junyu, et al.
Publicado: (2025)

A Survey of Multimodal Large Language Model from A Data-centric Perspective
por: Bai, Tianyi, et al.
Publicado: (2024)

A Comprehensive Survey on Deep Graph Representation Learning
por: Ju, Wei, et al.
Publicado: (2023)

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering
por: Qin, Yifang, et al.
Publicado: (2024)

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction
por: Ju, Wei, et al.
Publicado: (2026)

Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
por: Zhao, Yusheng, et al.
Publicado: (2025)

Efficient Multimodal Learning from Data-centric Perspective
por: He, Muyang, et al.
Publicado: (2024)

Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Training
por: Liu, Vivian, et al.
Publicado: (2024)

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
por: Gu, Yiyang, et al.
Publicado: (2026)

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning
por: Zhao, Yusheng, et al.
Publicado: (2025)

Hypergraph-enhanced Dual Semi-supervised Graph Classification
por: Ju, Wei, et al.
Publicado: (2024)

Vehicle-centric Perception via Multimodal Structured Pre-training
por: Wu, Wentao, et al.
Publicado: (2025)

Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle
por: Zhu, Linghao, et al.
Publicado: (2025)

Fast Inference of Removal-Based Node Influence
por: Li, Weikai, et al.
Publicado: (2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
por: Ju, Wei, et al.
Publicado: (2024)

A statistical theory of overfitting for imbalanced classification
por: Lyu, Jingyang, et al.
Publicado: (2025)

Protein Large Language Models: A Comprehensive Survey
por: Xiao, Yijia, et al.
Publicado: (2025)

A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
por: Zhang, Xiaokun, et al.
Publicado: (2025)

Data-centric Graph Learning: A Survey
por: Guo, Yuxin, et al.
Publicado: (2023)

Training and Clinic Responsibilities of Laboratory Directors and Laboratory Technical Staff in the United States of America
por: Xiao‐Ming Yin
Publicado: (2025)

Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective
por: Hsieh, Din-Yin, et al.
Publicado: (2024)

EcoSpa: Efficient Transformer Training with Coupled Sparsity
por: Xiao, Jinqi, et al.
Publicado: (2025)

Scale Efficient Training for Large Datasets
por: Zhou, Qing, et al.
Publicado: (2025)

HumanSAM: Classifying Human-centric Forgery Videos in Human Spatial, Appearance, and Motion Anomaly
por: Liu, Chang, et al.
Publicado: (2025)

Vision Augmentation Prediction Autoencoder with Attention Design (VAPAAD)
por: Yin, Yiqiao
Publicado: (2024)

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
por: Li, Hourun, et al.
Publicado: (2024)

Towards Data-centric Machine Learning on Directed Graphs: a Survey
por: Sun, Henan, et al.
Publicado: (2024)

PGODE: Towards High-quality System Dynamics Modeling
por: Luo, Xiao, et al.
Publicado: (2023)