Image de couverture de livre

EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware Pruning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhao, Songlin, Pitts, Michael, Qin, Zhuwei
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Olica: Efficient Structured Pruning of Large Language Models without Retraining
par: He, Jiujun, et autres
Publié: (2025)

Efficient Post-Training Pruning of Large Language Models with Statistical Correction
par: Yu, Peiqi, et autres
Publié: (2026)

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
par: Zhao, Bowen, et autres
Publié: (2024)

SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models
par: Zhu, Hourun, et autres
Publié: (2025)

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
par: Xu, Peng, et autres
Publié: (2024)

PAT: Pruning-Aware Tuning for Large Language Models
par: Liu, Yijiang, et autres
Publié: (2024)

Language Model-Driven Data Pruning Enables Efficient Active Learning
par: Azeemi, Abdul Hameed, et autres
Publié: (2024)

Relative Kinetic Utility for Reasoning-Aware Structural Pruning in Large Language Models
par: Qian, Tianhao
Publié: (2026)

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
par: Chen, Mengzhao, et autres
Publié: (2024)

Efficient Context Propagating Perceiver Architectures for Auto-Regressive Language Modeling
par: Mahmood, Kaleel, et autres
Publié: (2024)

Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations
par: Dong, Zican, et autres
Publié: (2025)

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation
par: Fang, Haoyang, et autres
Publié: (2026)

Adaptive Pruning for Large Language Models with Structural Importance Awareness
par: Zheng, Haotian, et autres
Publié: (2024)

Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking
par: Federici, Marco, et autres
Publié: (2024)

Efficient Alignment of Large Language Models via Data Sampling
par: Khera, Amrit, et autres
Publié: (2024)

Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
par: Lu, Xudong, et autres
Publié: (2024)

Efficient Vision-Language Reasoning via Adaptive Token Pruning
par: Li, Xue, et autres
Publié: (2025)

Text Quality-Based Pruning for Efficient Training of Language Models
par: Sharma, Vasu, et autres
Publié: (2024)

Inference-Cost-Aware Dynamic Tree Construction for Efficient Inference in Large Language Models
par: Hong, Yinrong, et autres
Publié: (2025)

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models
par: Liao, Xiaoxuan, et autres
Publié: (2025)

QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning
par: Rajabzadeh, Hossein, et autres
Publié: (2024)

Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning
par: Xia, Wenhan, et autres
Publié: (2024)

Large Language Model Pruning
par: Huang, Hanjuan, et autres
Publié: (2024)

MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations
par: Wang, Zixiao, et autres
Publié: (2024)

L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
par: Jeon, Hyesung, et autres
Publié: (2024)

LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models
par: Wu, Yichao, et autres
Publié: (2024)

Deterministic Differentiable Structured Pruning for Large Language Models
par: Huang, Weiyu, et autres
Publié: (2026)

Federated Data-Efficient Instruction Tuning for Large Language Models
par: Qin, Zhen, et autres
Publié: (2024)

Sink-Aware Pruning for Diffusion Language Models
par: Myrzakhan, Aidar, et autres
Publié: (2026)

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
par: Li, Yanan, et autres
Publié: (2025)

Efficient Mathematical Reasoning Models via Dynamic Pruning and Knowledge Distillation
par: Yu, Fengming, et autres
Publié: (2025)

Wanda++: Pruning Large Language Models via Regional Gradients
par: Yang, Yifan, et autres
Publié: (2025)

Efficient Pruning of Text-to-Image Models: Insights from Pruning Stable Diffusion
par: Ramesh, Samarth N, et autres
Publié: (2024)

Towards Building Efficient Sentence BERT Models using Layer Pruning
par: Shelke, Anushka, et autres
Publié: (2024)

Domain-Shift-Aware Conformal Prediction for Large Language Models
par: Lin, Zhexiao, et autres
Publié: (2025)

DarwinLM: Evolutionary Structured Pruning of Large Language Models
par: Tang, Shengkun, et autres
Publié: (2025)

Frustratingly Easy Task-aware Pruning for Large Language Models
par: Tian, Yuanhe, et autres
Publié: (2025)

Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models
par: Ali, Ameen, et autres
Publié: (2025)

PIP: Perturbation-based Iterative Pruning for Large Language Models
par: Cao, Yi, et autres
Publié: (2025)

Fast and Effective Weight Update for Pruned Large Language Models
par: Boža, Vladimír
Publié: (2024)