Copertina

AdaFRUGAL: Adaptive Memory-Efficient Training with Dynamic Control

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bui, Quang-Hung, Ta, Anh Son
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
di: Yang, Yifan, et al.
Pubblicazione: (2024)

AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
di: Koh, Woosung, et al.
Pubblicazione: (2025)

Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
di: Son, Hyegang, et al.
Pubblicazione: (2024)

AdaBoN: Adaptive Best-of-N Alignment
di: Raman, Vinod, et al.
Pubblicazione: (2025)

AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
di: Hu, Yuezhou, et al.
Pubblicazione: (2025)

TrafficVLM: A Controllable Visual Language Model for Traffic Video Captioning
di: Dinh, Quang Minh, et al.
Pubblicazione: (2024)

Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives
di: Xiong, Wei, et al.
Pubblicazione: (2025)

AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
di: Zhou, Hongyi, et al.
Pubblicazione: (2025)

Memory-Efficient LLM Training with Online Subspace Descent
di: Liang, Kaizhao, et al.
Pubblicazione: (2024)

NeuroAda: Activating Each Neuron's Potential for Parameter-Efficient Fine-Tuning
di: Zhang, Zhi, et al.
Pubblicazione: (2025)

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
di: Li, Renda, et al.
Pubblicazione: (2025)

Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
di: Zhang, Jun, et al.
Pubblicazione: (2025)

A Collision-Free Hot-Tier Extension for Engram-Style Conditional Memory: A Controlled Study of Training Dynamics
di: Lin, Tao
Pubblicazione: (2026)

AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation
di: Du, Weihua, et al.
Pubblicazione: (2026)

InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
di: Xiao, Chaojun, et al.
Pubblicazione: (2024)

TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
di: Xing, Xiaobo, et al.
Pubblicazione: (2025)

Adapt-Pruner: Adaptive Structural Pruning for Efficient Small Language Model Training
di: Pan, Rui, et al.
Pubblicazione: (2025)

Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference
di: Simonds, Toby
Pubblicazione: (2025)

Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory
di: He, Shiqi, et al.
Pubblicazione: (2025)

Adaptive Soft Rolling KV Freeze with Entropy-Guided Recovery: Sublinear Memory Growth for Efficient LLM Inference
di: Metinov, Adilet, et al.
Pubblicazione: (2025)

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation
di: Liu, Ziyun, et al.
Pubblicazione: (2026)

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions
di: Hou, Shizheng, et al.
Pubblicazione: (2026)

Manual Verbalizer Enrichment for Few-Shot Text Classification
di: Nguyen, Quang Anh, et al.
Pubblicazione: (2024)

VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation
di: Tran, Hieu, et al.
Pubblicazione: (2025)

Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models
di: Vendrell, Victor Conchello, et al.
Pubblicazione: (2026)

Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control
di: Rezazadeh, Alireza, et al.
Pubblicazione: (2025)

POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
di: Qiu, Zeju, et al.
Pubblicazione: (2026)

MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning
di: Lu, Yiyang, et al.
Pubblicazione: (2026)

An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training
di: Xiao, Youshao, et al.
Pubblicazione: (2023)

FlashSampling: Fast and Memory-Efficient Exact Sampling
di: Ruiz, Tomas, et al.
Pubblicazione: (2026)

Efficient Agent Training for Computer Use
di: He, Yanheng, et al.
Pubblicazione: (2025)

How to Train Data-Efficient LLMs
di: Sachdeva, Noveen, et al.
Pubblicazione: (2024)

UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Language Models
di: Gu, Xiaojie, et al.
Pubblicazione: (2025)

COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection
di: Xiao, Jinqi, et al.
Pubblicazione: (2024)

LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
di: Kim, Taeho, et al.
Pubblicazione: (2024)

Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures
di: Nguyen, Dang, et al.
Pubblicazione: (2024)

The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping
di: Liu, Yang, et al.
Pubblicazione: (2026)

SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing
di: Xu, Yifei, et al.
Pubblicazione: (2026)

Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
di: Nguyen, Hieu Trung, et al.
Pubblicazione: (2026)

Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning
di: Choi, Minsik, et al.
Pubblicazione: (2025)