Saved in:
| Main Authors: | Dai, Guangyu, Tang, Siliang, Zhuang, Yueting |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.20278 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Large Models with Small models: Lower Costs and Better Performance
by: Chen, Dong, et al.
Published: (2024)
by: Chen, Dong, et al.
Published: (2024)
GMFVAD: Using Grained Multi-modal Feature to Improve Video Anomaly Detection
by: Dai, Guangyu, et al.
Published: (2025)
by: Dai, Guangyu, et al.
Published: (2025)
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
by: Qiu, Haiyi, et al.
Published: (2024)
by: Qiu, Haiyi, et al.
Published: (2024)
HiPPO-KAN: Efficient KAN Model for Time Series Analysis
by: Lee, SangJong, et al.
Published: (2024)
by: Lee, SangJong, et al.
Published: (2024)
CORE: Code-based Inverse Self-Training Framework with Graph Expansion for Virtual Agents
by: Wang, Keyu, et al.
Published: (2026)
by: Wang, Keyu, et al.
Published: (2026)
From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology
by: Li, Haoyang, et al.
Published: (2024)
by: Li, Haoyang, et al.
Published: (2024)
Model Comparisons: XNet Outperforms KAN
by: Li, Xin, et al.
Published: (2024)
by: Li, Xin, et al.
Published: (2024)
Enhancing Multilingual LLM Pretraining with Model-Based Data Selection
by: Messmer, Bettina, et al.
Published: (2025)
by: Messmer, Bettina, et al.
Published: (2025)
Beyond Tree Models: A Hybrid Model of KAN and gMLP for Large-Scale Financial Tabular Data
by: Zhang, Mingming, et al.
Published: (2024)
by: Zhang, Mingming, et al.
Published: (2024)
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
by: Zhu, Yun, et al.
Published: (2024)
by: Zhu, Yun, et al.
Published: (2024)
Benchmarking Optimizers for Large Language Model Pretraining
by: Semenov, Andrei, et al.
Published: (2025)
by: Semenov, Andrei, et al.
Published: (2025)
KAN KAN Buff Signed Graph Neural Networks?
by: Shebaro, Muhieddine, et al.
Published: (2025)
by: Shebaro, Muhieddine, et al.
Published: (2025)
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models
by: Ren, Yilong, et al.
Published: (2024)
by: Ren, Yilong, et al.
Published: (2024)
KAN based Autoencoders for Factor Models
by: Wang, Tianqi, et al.
Published: (2024)
by: Wang, Tianqi, et al.
Published: (2024)
Enhancing Post-Training Quantization via Future Activation Awareness
by: Lv, Zheqi, et al.
Published: (2026)
by: Lv, Zheqi, et al.
Published: (2026)
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
by: Zhang, Wenqi, et al.
Published: (2025)
by: Zhang, Wenqi, et al.
Published: (2025)
AmorLIP: Efficient Language-Image Pretraining via Amortization
by: Sun, Haotian, et al.
Published: (2025)
by: Sun, Haotian, et al.
Published: (2025)
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning
by: Zhu, Yun, et al.
Published: (2023)
by: Zhu, Yun, et al.
Published: (2023)
LUT-KAN: Segment-wise LUT Quantization for Fast KAN Inference
by: Kuznetsov, Oleksandr
Published: (2026)
by: Kuznetsov, Oleksandr
Published: (2026)
IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization
by: Cao, Jie, et al.
Published: (2024)
by: Cao, Jie, et al.
Published: (2024)
Unveiling Hidden Collaboration within Mixture-of-Experts in Large Language Models
by: Tang, Yuanbo, et al.
Published: (2025)
by: Tang, Yuanbo, et al.
Published: (2025)
DuetRAG: Collaborative Retrieval-Augmented Generation
by: Jiao, Dian, et al.
Published: (2024)
by: Jiao, Dian, et al.
Published: (2024)
SurvKAN: A Fully Parametric Survival Model Based on Kolmogorov-Arnold Networks
by: Mastroleo, Marina, et al.
Published: (2026)
by: Mastroleo, Marina, et al.
Published: (2026)
DAE-KAN: A Kolmogorov-Arnold Network Model for High-Index Differential-Algebraic Equations
by: Luo, Kai, et al.
Published: (2025)
by: Luo, Kai, et al.
Published: (2025)
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
by: Sow, Daouda, et al.
Published: (2025)
by: Sow, Daouda, et al.
Published: (2025)
Enhancing Neural Function Approximation: The XNet Outperforming KAN
by: Li, Xin, et al.
Published: (2025)
by: Li, Xin, et al.
Published: (2025)
Pretraining Large Language Models with NVFP4
by: NVIDIA, et al.
Published: (2025)
by: NVIDIA, et al.
Published: (2025)
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
by: Zhou, Sashuai, et al.
Published: (2025)
by: Zhou, Sashuai, et al.
Published: (2025)
Strong Teacher Not Needed? On Distillation in LLM Pretraining
by: Lu, Taiming, et al.
Published: (2026)
by: Lu, Taiming, et al.
Published: (2026)
AdaGC: Improving Training Stability for Large Language Model Pretraining
by: Wang, Guoxia, et al.
Published: (2025)
by: Wang, Guoxia, et al.
Published: (2025)
Large Cognition Model: Towards Pretrained EEG Foundation Model
by: Chen, Chi-Sheng, et al.
Published: (2025)
by: Chen, Chi-Sheng, et al.
Published: (2025)
Exploration-Driven Optimization for Test-Time Large Language Model Reasoning
by: Li, Changhao, et al.
Published: (2026)
by: Li, Changhao, et al.
Published: (2026)
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
by: Niu, Chaoyue, et al.
Published: (2025)
by: Niu, Chaoyue, et al.
Published: (2025)
E-CGL: An Efficient Continual Graph Learner
by: Guo, Jianhao, et al.
Published: (2024)
by: Guo, Jianhao, et al.
Published: (2024)
EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
by: Wang, Feng, et al.
Published: (2025)
by: Wang, Feng, et al.
Published: (2025)
WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
by: Xu, Kunpeng, et al.
Published: (2024)
by: Xu, Kunpeng, et al.
Published: (2024)
A Structured Nonparametric Framework for Nonlinear Accelerated Failure Time Models (KAN-AFT)
by: Jose, Mebin, et al.
Published: (2025)
by: Jose, Mebin, et al.
Published: (2025)
KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems
by: Pal, Ashish, et al.
Published: (2024)
by: Pal, Ashish, et al.
Published: (2024)
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
by: Ruis, Laura, et al.
Published: (2024)
by: Ruis, Laura, et al.
Published: (2024)
Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN
by: Patra, Subhajit, et al.
Published: (2024)
by: Patra, Subhajit, et al.
Published: (2024)
Similar Items
-
Improving Large Models with Small models: Lower Costs and Better Performance
by: Chen, Dong, et al.
Published: (2024) -
GMFVAD: Using Grained Multi-modal Feature to Improve Video Anomaly Detection
by: Dai, Guangyu, et al.
Published: (2025) -
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
by: Qiu, Haiyi, et al.
Published: (2024) -
HiPPO-KAN: Efficient KAN Model for Time Series Analysis
by: Lee, SangJong, et al.
Published: (2024) -
CORE: Code-based Inverse Self-Training Framework with Graph Expansion for Virtual Agents
by: Wang, Keyu, et al.
Published: (2026)