Saved in:
| Main Author: | Huang, Yufeng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.18401 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Power-based Partial Attention: Bridging Linear-Complexity and Full Attention
by: Huang, Yufeng
Published: (2026)
by: Huang, Yufeng
Published: (2026)
Incremental Gauss--Newton Methods with Superlinear Convergence Rates
by: Zhou, Zhiling, et al.
Published: (2024)
by: Zhou, Zhiling, et al.
Published: (2024)
On the Superlinear Relationship between SGD Noise Covariance and Loss Landscape Curvature
by: Zhang, Yikuan, et al.
Published: (2026)
by: Zhang, Yikuan, et al.
Published: (2026)
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
by: Liu, Zhuanghua, et al.
Published: (2024)
by: Liu, Zhuanghua, et al.
Published: (2024)
Efficient Convex Optimization Requires Superlinear Memory
by: Marsden, Annie, et al.
Published: (2022)
by: Marsden, Annie, et al.
Published: (2022)
Hardware-Adaptive and Superlinear-Capacity Memristor-based Associative Memory
by: He, Chengping, et al.
Published: (2025)
by: He, Chengping, et al.
Published: (2025)
Taming the Interacting Particle Langevin Algorithm: The Superlinear case
by: Johnston, Tim, et al.
Published: (2024)
by: Johnston, Tim, et al.
Published: (2024)
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models
by: Zhang, Yufeng, et al.
Published: (2022)
by: Zhang, Yufeng, et al.
Published: (2022)
Distributionally Robust Multi-Objective Optimization
by: Yang, Yufeng, et al.
Published: (2026)
by: Yang, Yufeng, et al.
Published: (2026)
Semantic Step Prediction: Multi-Step Latent Forecasting in LLM Reasoning Trajectories via Step Sampling
by: Yuan, Yidi
Published: (2026)
by: Yuan, Yidi
Published: (2026)
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection
by: Gao, Daiqi, et al.
Published: (2023)
by: Gao, Daiqi, et al.
Published: (2023)
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
by: Jain, Nishant, et al.
Published: (2025)
by: Jain, Nishant, et al.
Published: (2025)
Transformers Can Navigate Mazes With Multi-Step Prediction
by: Nolte, Niklas, et al.
Published: (2024)
by: Nolte, Niklas, et al.
Published: (2024)
One Step Learning, One Step Review
by: Huang, Xiaolong, et al.
Published: (2024)
by: Huang, Xiaolong, et al.
Published: (2024)
RecurFormer: Not All Transformer Heads Need Self-Attention
by: Yan, Ruiqing, et al.
Published: (2024)
by: Yan, Ruiqing, et al.
Published: (2024)
One-Step Multi-View Clustering Based on Transition Probability
by: Zhao, Wenhui, et al.
Published: (2024)
by: Zhao, Wenhui, et al.
Published: (2024)
Modeling Multi-Step Scientific Processes with Graph Transformer Networks
by: Volk, Amanda A., et al.
Published: (2024)
by: Volk, Amanda A., et al.
Published: (2024)
Stratify: Unifying Multi-Step Forecasting Strategies
by: Green, Riku, et al.
Published: (2024)
by: Green, Riku, et al.
Published: (2024)
Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding
by: Wu, Yufeng, et al.
Published: (2024)
by: Wu, Yufeng, et al.
Published: (2024)
Multi-Head Low-Rank Attention
by: Liu, Songtao, et al.
Published: (2026)
by: Liu, Songtao, et al.
Published: (2026)
Reinforcement Learning with Multi-Step Lookahead Information Via Adaptive Batching
by: Merlis, Nadav
Published: (2026)
by: Merlis, Nadav
Published: (2026)
Multi-Head Attention as a Source of Catastrophic Forgetting in MoE Transformers
by: Chen, Anrui, et al.
Published: (2026)
by: Chen, Anrui, et al.
Published: (2026)
VeriGate: Verifier-Gated Step-Level Supervision for GRPO
by: Agrawal, Aakriti, et al.
Published: (2026)
by: Agrawal, Aakriti, et al.
Published: (2026)
Step-by-Step Causality: Transparent Causal Discovery with Multi-Agent Tree-Query and Adversarial Confidence Estimation
by: Ding, Ziyi, et al.
Published: (2026)
by: Ding, Ziyi, et al.
Published: (2026)
UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward
by: Cheng, Yufeng, et al.
Published: (2025)
by: Cheng, Yufeng, et al.
Published: (2025)
FOCAL-Attention for Heterogeneous Multi-Label Prediction
by: Zhang, Chenghao, et al.
Published: (2026)
by: Zhang, Chenghao, et al.
Published: (2026)
Memorization Capacity of Multi-Head Attention in Transformers
by: Mahdavi, Sadegh, et al.
Published: (2023)
by: Mahdavi, Sadegh, et al.
Published: (2023)
Hierarchical Attention Models for Multi-Relational Graphs
by: Iyer, Roshni G., et al.
Published: (2024)
by: Iyer, Roshni G., et al.
Published: (2024)
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks
by: Alruqimi, Mohammed, et al.
Published: (2024)
by: Alruqimi, Mohammed, et al.
Published: (2024)
Attention-Aware GNN-based Input Defense against Multi-Turn LLM Jailbreak
by: Huang, Zixuan, et al.
Published: (2025)
by: Huang, Zixuan, et al.
Published: (2025)
Dual-Level Models for Physics-Informed Multi-Step Time Series Forecasting
by: Nasiri, Mahdi, et al.
Published: (2026)
by: Nasiri, Mahdi, et al.
Published: (2026)
Adaptive Conformal Inference for Multi-Step Ahead Time-Series Forecasting Online
by: Szabadváry, Johan Hallberg
Published: (2024)
by: Szabadváry, Johan Hallberg
Published: (2024)
A Multi-Step Comparative Framework for Anomaly Detection in IoT Data Streams
by: Al-Qudah, Mohammed, et al.
Published: (2025)
by: Al-Qudah, Mohammed, et al.
Published: (2025)
Multi-matrix Factorization Attention
by: Hu, Jingcheng, et al.
Published: (2024)
by: Hu, Jingcheng, et al.
Published: (2024)
Step-Level Sparse Autoencoder for Reasoning Process Interpretation
by: Yang, Xuan, et al.
Published: (2026)
by: Yang, Xuan, et al.
Published: (2026)
Spectral Probe-Circuits: A Three-Step Recipe for Identifying Attention-Head Circuits in Pretrained Transformers
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline
by: Fang, Zhiyuan, et al.
Published: (2025)
by: Fang, Zhiyuan, et al.
Published: (2025)
Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks
by: Maryam, Hafsa, et al.
Published: (2024)
by: Maryam, Hafsa, et al.
Published: (2024)
Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions
by: Shen, Xinwei, et al.
Published: (2025)
by: Shen, Xinwei, et al.
Published: (2025)
Multi-Token Residual Prediction
by: Xu, Yufeng, et al.
Published: (2026)
by: Xu, Yufeng, et al.
Published: (2026)
Similar Items
-
Power-based Partial Attention: Bridging Linear-Complexity and Full Attention
by: Huang, Yufeng
Published: (2026) -
Incremental Gauss--Newton Methods with Superlinear Convergence Rates
by: Zhou, Zhiling, et al.
Published: (2024) -
On the Superlinear Relationship between SGD Noise Covariance and Loss Landscape Curvature
by: Zhang, Yikuan, et al.
Published: (2026) -
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
by: Liu, Zhuanghua, et al.
Published: (2024) -
Efficient Convex Optimization Requires Superlinear Memory
by: Marsden, Annie, et al.
Published: (2022)