Saved in:
| Main Authors: | Xiong, Jian, Zhou, Jingbo, Zhou, Zihan, Xiao, Yixiong, Zhang, Le, Ye, Jingyong, Qian, Rui, Zhou, Yang, Dou, Dejing |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.22474 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin
by: Xiong, Jian, et al.
Published: (2025)
by: Xiong, Jian, et al.
Published: (2025)
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022
by: Zhou, Jingbo, et al.
Published: (2022)
by: Zhou, Jingbo, et al.
Published: (2022)
TimeFound: A Foundation Model for Time Series Forecasting
by: Xiao, Congxi, et al.
Published: (2025)
by: Xiao, Congxi, et al.
Published: (2025)
PAMNet: Cycle-aware Phase-Amplitude Modulation Network for Multivariate Time Series Forecasting
by: Zhou, Yingbo, et al.
Published: (2026)
by: Zhou, Yingbo, et al.
Published: (2026)
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
by: Che, Tianshi, et al.
Published: (2023)
by: Che, Tianshi, et al.
Published: (2023)
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
by: Liu, Ji, et al.
Published: (2024)
by: Liu, Ji, et al.
Published: (2024)
PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting
by: Zhou, Yingbo, et al.
Published: (2026)
by: Zhou, Yingbo, et al.
Published: (2026)
Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout
by: Liu, Ji, et al.
Published: (2025)
by: Liu, Ji, et al.
Published: (2025)
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning
by: Liu, Ji, et al.
Published: (2024)
by: Liu, Ji, et al.
Published: (2024)
Efficient Asynchronous Federated Learning with Sparsification and Quantization
by: Jia, Juncheng, et al.
Published: (2023)
by: Jia, Juncheng, et al.
Published: (2023)
Efficient Federated Learning with Timely Update Dissemination
by: Jia, Juncheng, et al.
Published: (2025)
by: Jia, Juncheng, et al.
Published: (2025)
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
by: Huo, Yifu, et al.
Published: (2026)
by: Huo, Yifu, et al.
Published: (2026)
AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation
by: Qian, Rui, et al.
Published: (2026)
by: Qian, Rui, et al.
Published: (2026)
Reasoning to Attend: Try to Understand How <SEG> Token Works
by: Qian, Rui, et al.
Published: (2024)
by: Qian, Rui, et al.
Published: (2024)
Foundations of Large Language Models
by: Xiao, Tong, et al.
Published: (2025)
by: Xiao, Tong, et al.
Published: (2025)
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
by: Zhang, Shengming, et al.
Published: (2025)
by: Zhang, Shengming, et al.
Published: (2025)
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data
by: Liu, Ji, et al.
Published: (2024)
by: Liu, Ji, et al.
Published: (2024)
Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models
by: Tan, Wenhui, et al.
Published: (2026)
by: Tan, Wenhui, et al.
Published: (2026)
Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding
by: Fang, Yixiong, et al.
Published: (2024)
by: Fang, Yixiong, et al.
Published: (2024)
Revealing Behavioral Plasticity in Large Language Models: A Token-Conditional Perspective
by: Mao, Liyuan, et al.
Published: (2026)
by: Mao, Liyuan, et al.
Published: (2026)
QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models
by: Zhou, Changhai, et al.
Published: (2024)
by: Zhou, Changhai, et al.
Published: (2024)
UGround: Towards Unified Visual Grounding with Unrolled Transformers
by: Qian, Rui, et al.
Published: (2025)
by: Qian, Rui, et al.
Published: (2025)
Learning to Decouple Complex Systems
by: Zhou, Zihan, et al.
Published: (2023)
by: Zhou, Zihan, et al.
Published: (2023)
LoReC: Rethinking Large Language Models for Graph Data Analysis
by: Zhan, Hongyu, et al.
Published: (2026)
by: Zhan, Hongyu, et al.
Published: (2026)
ReLaX: Reasoning with Latent Exploration for Large Reasoning Models
by: Zhang, Shimin, et al.
Published: (2025)
by: Zhang, Shimin, et al.
Published: (2025)
LEPO: Latent Reasoning Policy Optimization for Large Language Models
by: Zhou, Yuyan, et al.
Published: (2026)
by: Zhou, Yuyan, et al.
Published: (2026)
ChartAnchor: Chart Grounding with Structural-Semantic Fidelity
by: Li, Xinhang, et al.
Published: (2025)
by: Li, Xinhang, et al.
Published: (2025)
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning
by: Li, Jiaheng, et al.
Published: (2025)
by: Li, Jiaheng, et al.
Published: (2025)
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
by: Zhou, Haichen, et al.
Published: (2024)
by: Zhou, Haichen, et al.
Published: (2024)
Privacy-preserving Decision-focused Learning for Multi-energy Systems
by: Zhou, Yangze, et al.
Published: (2025)
by: Zhou, Yangze, et al.
Published: (2025)
Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026)
by: Liu, Yuanhao, et al.
Published: (2026)
Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
by: Chen, Shaorong, et al.
Published: (2026)
by: Chen, Shaorong, et al.
Published: (2026)
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension
by: Yang, Qian, et al.
Published: (2024)
by: Yang, Qian, et al.
Published: (2024)
Large Language Model Compression with Global Rank and Sparsity Optimization
by: Zhou, Changhai, et al.
Published: (2025)
by: Zhou, Changhai, et al.
Published: (2025)
Revis: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models
by: Wu, Jialin, et al.
Published: (2026)
by: Wu, Jialin, et al.
Published: (2026)
Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning
by: Ye, Kai, et al.
Published: (2025)
by: Ye, Kai, et al.
Published: (2025)
Geometric origin of adversarial vulnerability in deep learning
by: Ren, Yixiong, et al.
Published: (2025)
by: Ren, Yixiong, et al.
Published: (2025)
Large Language Models as Optimizers
by: Yang, Chengrun, et al.
Published: (2023)
by: Yang, Chengrun, et al.
Published: (2023)
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
by: Zhou, Zhanke, et al.
Published: (2025)
by: Zhou, Zhanke, et al.
Published: (2025)
Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration From Cognitive Psychology
by: Xie, Wei, et al.
Published: (2024)
by: Xie, Wei, et al.
Published: (2024)
Similar Items
-
AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin
by: Xiong, Jian, et al.
Published: (2025) -
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022
by: Zhou, Jingbo, et al.
Published: (2022) -
TimeFound: A Foundation Model for Time Series Forecasting
by: Xiao, Congxi, et al.
Published: (2025) -
PAMNet: Cycle-aware Phase-Amplitude Modulation Network for Multivariate Time Series Forecasting
by: Zhou, Yingbo, et al.
Published: (2026) -
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
by: Che, Tianshi, et al.
Published: (2023)