Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environments
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Dong, Hu, Zhengqing, Zhao, Shixing, Guo, Yibo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments
by: Meng, Guanlin
Published: (2023)
by: Meng, Guanlin
Published: (2023)
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
by: Yang, Yibo, et al.
Published: (2024)
by: Yang, Yibo, et al.
Published: (2024)
Knowledge Grafting: A Mechanism for Optimizing AI Model Deployment in Resource-Constrained Environments
by: Almurshed, Osama, et al.
Published: (2025)
by: Almurshed, Osama, et al.
Published: (2025)
Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments
by: Taha, Mohamed A.
Published: (2025)
by: Taha, Mohamed A.
Published: (2025)
Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing
by: Yang, Yubo, et al.
Published: (2025)
by: Yang, Yubo, et al.
Published: (2025)
Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models
by: Wei, Kaiwen, et al.
Published: (2024)
by: Wei, Kaiwen, et al.
Published: (2024)
Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs
by: Abillama, Pierre, et al.
Published: (2025)
by: Abillama, Pierre, et al.
Published: (2025)
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling
by: Abdallah, Hussein, et al.
Published: (2024)
by: Abdallah, Hussein, et al.
Published: (2024)
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models
by: Qin, Ruiyang, et al.
Published: (2024)
by: Qin, Ruiyang, et al.
Published: (2024)
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation
by: Dey, Vishal, et al.
Published: (2024)
by: Dey, Vishal, et al.
Published: (2024)
Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective
by: Gonzalez, Emmanuel Anaya, et al.
Published: (2025)
by: Gonzalez, Emmanuel Anaya, et al.
Published: (2025)
Distill-then-Replace: Efficient Task-Specific Hybrid Attention Model Construction
by: Xia, Xiaojie, et al.
Published: (2026)
by: Xia, Xiaojie, et al.
Published: (2026)
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
by: Wang, Xiaochen, et al.
Published: (2024)
by: Wang, Xiaochen, et al.
Published: (2024)
MAFIG: Multi-agent Driven Formal Instruction Generation Framework
by: Zhao, Shixing, et al.
Published: (2026)
by: Zhao, Shixing, et al.
Published: (2026)
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging
by: Xu, Yichu, et al.
Published: (2024)
by: Xu, Yichu, et al.
Published: (2024)
Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
by: Ahmed, Mohamed Aboelenien, et al.
Published: (2025)
by: Ahmed, Mohamed Aboelenien, et al.
Published: (2025)
Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction
by: Feng, Jinyuan, et al.
Published: (2024)
by: Feng, Jinyuan, et al.
Published: (2024)
LiteVLM: A Low-Latency Vision-Language Model Inference Pipeline for Resource-Constrained Environments
by: Huang, Jin, et al.
Published: (2025)
by: Huang, Jin, et al.
Published: (2025)
CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT
by: Hu, Yi, et al.
Published: (2024)
by: Hu, Yi, et al.
Published: (2024)
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients
by: Chen, Shaoyuan, et al.
Published: (2024)
by: Chen, Shaoyuan, et al.
Published: (2024)
XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units
by: Das, Arghadip, et al.
Published: (2025)
by: Das, Arghadip, et al.
Published: (2025)
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
by: Wang, Peng, et al.
Published: (2023)
by: Wang, Peng, et al.
Published: (2023)
Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces
by: Yu, Shixing, et al.
Published: (2026)
by: Yu, Shixing, et al.
Published: (2026)
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques
by: Girija, Sanjay Surendranath, et al.
Published: (2025)
by: Girija, Sanjay Surendranath, et al.
Published: (2025)
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
by: Lee, Daehee, et al.
Published: (2024)
by: Lee, Daehee, et al.
Published: (2024)
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
by: Hu, Senkang, et al.
Published: (2025)
by: Hu, Senkang, et al.
Published: (2025)
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
by: Gambardella, Andrew, et al.
Published: (2024)
by: Gambardella, Andrew, et al.
Published: (2024)
Progressive Weight Loading: Accelerating Initial Inference and Gradually Boosting Performance on Resource-Constrained Environments
by: Kim, Hyunwoo, et al.
Published: (2025)
by: Kim, Hyunwoo, et al.
Published: (2025)
The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments
by: Thudumu, Srikanth, et al.
Published: (2025)
by: Thudumu, Srikanth, et al.
Published: (2025)
Aligning Knowledge Graphs Provided by Humans and Generated from Neural Networks in Specific Tasks
by: Li, Tangrui, et al.
Published: (2024)
by: Li, Tangrui, et al.
Published: (2024)
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025)
by: Liang, Jian, et al.
Published: (2025)
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration
by: Wang, Yibo, et al.
Published: (2024)
by: Wang, Yibo, et al.
Published: (2024)
EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs
by: Tang, Hanlin, et al.
Published: (2024)
by: Tang, Hanlin, et al.
Published: (2024)
On Accelerating Edge AI: Optimizing Resource-Constrained Environments
by: Sander, Jacob, et al.
Published: (2025)
by: Sander, Jacob, et al.
Published: (2025)
A Text-Based Knowledge-Embedded Soft Sensing Modeling Approach for General Industrial Process Tasks Based on Large Language Model
by: Tong, Shuo, et al.
Published: (2025)
by: Tong, Shuo, et al.
Published: (2025)
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
by: Hu, Mengkang, et al.
Published: (2024)
by: Hu, Mengkang, et al.
Published: (2024)
Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining
by: Yang, Yazheng, et al.
Published: (2024)
by: Yang, Yazheng, et al.
Published: (2024)
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks
by: Hase, Peter, et al.
Published: (2024)
by: Hase, Peter, et al.
Published: (2024)
Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings
by: Mir, Aya El, et al.
Published: (2024)
by: Mir, Aya El, et al.
Published: (2024)
Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies
by: Lou, Zhanzhi, et al.
Published: (2026)
by: Lou, Zhanzhi, et al.
Published: (2026)
Similar Items
-
Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments
by: Meng, Guanlin
Published: (2023) -
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
by: Yang, Yibo, et al.
Published: (2024) -
Knowledge Grafting: A Mechanism for Optimizing AI Model Deployment in Resource-Constrained Environments
by: Almurshed, Osama, et al.
Published: (2025) -
Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments
by: Taha, Mohamed A.
Published: (2025) -
Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing
by: Yang, Yubo, et al.
Published: (2025)