:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Zhe, Li, Wenrui, Chen, Hongtao, Wang, Penghong, Xiong, Ruiqin, Fan, Xiaopeng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2511.13755
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition
by: Huang, Chengxiang, et al.
Published: (2025)

Spiking Tucker Fusion Transformer for Audio-Visual Zero-Shot Learning
by: Li, Wenrui, et al.
Published: (2024)

Learning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement
by: Wu, Keshu, et al.
Published: (2026)

CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
by: Yang, Zongzhen, et al.
Published: (2025)

Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation
by: Liu, Xiaotian, et al.
Published: (2026)

Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
by: Bo, Weihao, et al.
Published: (2025)

SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention
by: Xu, Hongtao, et al.
Published: (2026)

PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning
by: Feng, Wenfeng, et al.
Published: (2025)

Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking
by: Ren, Jie, et al.
Published: (2025)

Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies
by: Shi, Fangzhou, et al.
Published: (2025)

Balancing Multimodal Learning through Label Space Reshaping
by: Ma, Xiaoyu, et al.
Published: (2026)

Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder
by: Xu, Zhen, et al.
Published: (2025)

Improving Multimodal Learning Balance and Sufficiency through Data Remixing
by: Ma, Xiaoyu, et al.
Published: (2025)

BalanceBenchmark: A Survey for Multimodal Imbalance Learning
by: Xu, Shaoxuan, et al.
Published: (2025)

G-Core: A Simple, Scalable and Balanced RLHF Trainer
by: Wu, Junyu, et al.
Published: (2025)

BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
by: Li, Zhixuan, et al.
Published: (2025)

Byzantine-Resilient Federated Learning via Distributed Optimization
by: Xia, Yufei, et al.
Published: (2025)

Adaptive Information Routing for Multimodal Time Series Forecasting
by: Seo, Jun, et al.
Published: (2025)

BuddyMoE: Exploiting Expert Redundancy to Accelerate Memory-Constrained Mixture-of-Experts Inference
by: Wang, Yun, et al.
Published: (2025)

Refining Adaptive Zeroth-Order Optimization at Ease
by: Shu, Yao, et al.
Published: (2025)

Action-Adaptive Continual Learning: Enabling Policy Generalization under Dynamic Action Spaces
by: Pan, Chaofan, et al.
Published: (2025)

CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
by: Alabdulmohsin, Ibrahim, et al.
Published: (2024)

Maximum Redundancy Pruning: A Principle-Driven Layerwise Sparsity Allocation for LLMs
by: Gao, Chang, et al.
Published: (2025)

Learning Invariant Graph Representations Through Redundant Information
by: Halder, Barproda, et al.
Published: (2025)

Redundancy as a Structural Information Principle for Learning and Generalization
by: Bi, Yuda, et al.
Published: (2025)

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression
by: Zhang, Te, et al.
Published: (2025)

Adaptive Variational Continual Learning via Task-Heuristic Modelling
by: Yang, Fan
Published: (2024)

ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
by: Chen, Zhaorun, et al.
Published: (2025)

RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting
by: Li, Yuduo, et al.
Published: (2026)

OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
by: Hu, Xing, et al.
Published: (2025)

Towards Adversarially Robust Deep Metric Learning
by: Ke, Xiaopeng
Published: (2025)

Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
by: Shen, Zhixiang, et al.
Published: (2024)

Beyond Frequency: The Role of Redundancy in Large Language Model Memorization
by: Zhang, Jie, et al.
Published: (2025)

Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
by: Mai, Anh-Tuan, et al.
Published: (2026)

Automatic Parameter Selection for Non-Redundant Clustering
by: Leiber, Collin, et al.
Published: (2023)

Refinement Provenance Inference: Detecting LLM-Refined Training Prompts from Model Behavior
by: Yin, Bo, et al.
Published: (2026)

CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning
by: Qin, Bin, et al.
Published: (2025)

How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning
by: Zhai, Zhiyuan, et al.
Published: (2026)

Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging
by: Peng, Xinyu, et al.
Published: (2026)

Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis
by: Luo, Miaosen, et al.
Published: (2025)