Cover Image

Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Suorong, Zhu, Hanqi, Gan, Hai, Su, Fangjian, Li, Guang, Shen, Furao, Poria, Soujanya
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data Agent: Learning to Select Data via End-to-End Dynamic Optimization
by: Yang, Suorong, et al.
Published: (2026)

When Dynamic Data Selection Meets Data Augmentation
by: Yang, Suorong, et al.
Published: (2025)

EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
by: Yang, Suorong, et al.
Published: (2024)

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
by: Yang, Suorong, et al.
Published: (2025)

A CLIP-Powered Framework for Robust and Generalizable Data Selection
by: Yang, Suorong, et al.
Published: (2024)

Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning
by: Xu, Zhiming, et al.
Published: (2024)

IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation
by: Yang, Suorong, et al.
Published: (2025)

Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
by: Li, Jie, et al.
Published: (2026)

AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
by: Yang, Suorong, et al.
Published: (2024)

On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation
by: Yang, Suorong, et al.
Published: (2025)

Pushing the Limits of Distillation-Based Continual Learning via Classifier-Proximal Lightweight Plugins
by: Xu, Zhiming, et al.
Published: (2025)

Towards Realistic Class-Incremental Learning with Free-Flow Increments
by: Xu, Zhiming, et al.
Published: (2026)

Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning
by: Yang, Suorong, et al.
Published: (2025)

Towards Robust Instruction Tuning on Multimodal Large Language Models
by: Han, Wei, et al.
Published: (2024)

$Δ$-AttnMask: Attention-Guided Masked Hidden States for Efficient Data Selection and Augmentation
by: Hu, Jucheng, et al.
Published: (2025)

Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text Models
by: Han, Wei, et al.
Published: (2023)

Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
by: Bhardwaj, Rishabh, et al.
Published: (2024)

DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
by: Deep, Pala Tej, et al.
Published: (2024)

Exact Flow Linear Attention: Exact Solution from Continuous-Time Dynamics
by: Lei, Jingdi, et al.
Published: (2025)

PREMISE: Matching-based Prediction for Accurate Review Recommendation
by: Han, Wei, et al.
Published: (2025)

Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model
by: Kang, Jaeyong, et al.
Published: (2023)

Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models
by: Hazra, Rima, et al.
Published: (2024)

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost
by: Xuan, Richmond Sin Jing, et al.
Published: (2026)

Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning
by: Toh, Vernon Y. H., et al.
Published: (2024)

Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
by: Hazra, Rima, et al.
Published: (2024)

HyperTTS: Parameter Efficient Adaptation in Text to Speech using Hypernetworks
by: Li, Yingting, et al.
Published: (2024)

Leveraging Parameter-Efficient Transfer Learning for Multi-Lingual Text-to-Speech Adaptation
by: Li, Yingting, et al.
Published: (2024)

Plug-and-play superiorization
by: Henshaw, Jon, et al.
Published: (2024)

Plug-and-play robots
Published: (2004)

Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned
by: Ong, Brandon, et al.
Published: (2025)

PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference
by: Jin, Weisheng, et al.
Published: (2025)

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
by: Shen, Siqi, et al.
Published: (2024)

Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models
by: Chia, Yew Ken, et al.
Published: (2024)

Harnessing Large Language Models for Scientific Novelty Detection
by: Liu, Yan, et al.
Published: (2025)

Stacked from One: Multi-Scale Self-Injection for Context Window Extension
by: Han, Wei, et al.
Published: (2026)

Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming
by: Han, Vernon Toh Yan, et al.
Published: (2024)

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control
by: Zhang, Shaozuo, et al.
Published: (2025)

Two are better than one: Context window extension with multi-grained self-injection
by: Han, Wei, et al.
Published: (2024)

Toward Robust Multimodal Learning using Multimodal Foundational Models
by: Zhao, Xianbing, et al.
Published: (2024)

Heterogeneity-Aware Dataset Scheduling for Efficient Audio Large Language Model Training
by: Wu, Yanru, et al.
Published: (2026)