A Theoretical Analysis of Detecting Large Model-Generated Time Series
Fuente:
arXiv
Saved in:
| Main Authors: | Hou, Junji, Zhao, Junzhou, Zhang, Shuo, Wang, Pinghui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Extracting Training Dialogue Data from Large Language Model based Task Bots
by: Zhang, Shuo, et al.
Published: (2026)
by: Zhang, Shuo, et al.
Published: (2026)
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
by: Zhang, Shuo, et al.
Published: (2023)
by: Zhang, Shuo, et al.
Published: (2023)
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge
by: Xu, Nuo, et al.
Published: (2024)
by: Xu, Nuo, et al.
Published: (2024)
Adaptive Cubic Regularized Second-Order Latent Factor Analysis Model
by: Wang, Jialiang, et al.
Published: (2025)
by: Wang, Jialiang, et al.
Published: (2025)
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
by: Ma, Jie, et al.
Published: (2023)
by: Ma, Jie, et al.
Published: (2023)
FloCA: Towards Faithful and Logically Consistent Flowchart Reasoning
by: Zou, Jinzi, et al.
Published: (2026)
by: Zou, Jinzi, et al.
Published: (2026)
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
by: Long, Jiangxuan, et al.
Published: (2025)
by: Long, Jiangxuan, et al.
Published: (2025)
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
by: Wang, Wenxuan, et al.
Published: (2025)
by: Wang, Wenxuan, et al.
Published: (2025)
Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models
by: Li, Musheng, et al.
Published: (2026)
by: Li, Musheng, et al.
Published: (2026)
TimeSense:Making Large Language Models Proficient in Time-Series Analysis
by: Zhang, Zhirui, et al.
Published: (2025)
by: Zhang, Zhirui, et al.
Published: (2025)
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
by: Ren, Lei, et al.
Published: (2024)
by: Ren, Lei, et al.
Published: (2024)
Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2025)
by: Chen, Feiyi, et al.
Published: (2025)
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
by: Wang, Wenxuan, et al.
Published: (2025)
by: Wang, Wenxuan, et al.
Published: (2025)
Toward Reasoning-Centric Time-Series Analysis
by: Wang, Xinlei, et al.
Published: (2025)
by: Wang, Xinlei, et al.
Published: (2025)
Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models
by: Hou, Xuan, et al.
Published: (2025)
by: Hou, Xuan, et al.
Published: (2025)
Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
by: Li, Haoran, et al.
Published: (2025)
by: Li, Haoran, et al.
Published: (2025)
Are Large Language Models Useful for Time Series Data Analysis?
by: Tang, Francis, et al.
Published: (2024)
by: Tang, Francis, et al.
Published: (2024)
Position: What Can Large Language Models Tell Us about Time Series Analysis
by: Jin, Ming, et al.
Published: (2024)
by: Jin, Ming, et al.
Published: (2024)
StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
by: Fang, Weike, et al.
Published: (2024)
by: Fang, Weike, et al.
Published: (2024)
Capture Timing-Attention of Events in Clinical Time Series
by: Li, Jia, et al.
Published: (2026)
by: Li, Jia, et al.
Published: (2026)
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
by: Ge, Yunfeng, et al.
Published: (2025)
by: Ge, Yunfeng, et al.
Published: (2025)
A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning
by: Xu, Junzhou, et al.
Published: (2025)
by: Xu, Junzhou, et al.
Published: (2025)
A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
by: Chang, Ching, et al.
Published: (2025)
by: Chang, Ching, et al.
Published: (2025)
A Theoretical Analysis of Discrete Flow Matching Generative Models
by: Su, Maojiang, et al.
Published: (2025)
by: Su, Maojiang, et al.
Published: (2025)
DLGAN : Time Series Synthesis Based on Dual-Layer Generative Adversarial Networks
by: Hou, Xuan, et al.
Published: (2025)
by: Hou, Xuan, et al.
Published: (2025)
Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey
by: Ye, Jiexia, et al.
Published: (2024)
by: Ye, Jiexia, et al.
Published: (2024)
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
by: Liu, Chen, et al.
Published: (2024)
by: Liu, Chen, et al.
Published: (2024)
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
Retrieval-Augmented Generation with Covariate Time Series
by: Liang, Kenny Ye, et al.
Published: (2026)
by: Liang, Kenny Ye, et al.
Published: (2026)
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
by: Ao, Tu, et al.
Published: (2025)
by: Ao, Tu, et al.
Published: (2025)
Locally Linear Continual Learning for Time Series based on VC-Theoretical Generalization Bounds
by: Ferreira, Yan V. G., et al.
Published: (2026)
by: Ferreira, Yan V. G., et al.
Published: (2026)
Large Language Models for Time Series: A Survey
by: Zhang, Xiyuan, et al.
Published: (2024)
by: Zhang, Xiyuan, et al.
Published: (2024)
TimeOmni-VL: Unified Models for Time Series Understanding and Generation
by: Guan, Tong, et al.
Published: (2026)
by: Guan, Tong, et al.
Published: (2026)
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
by: Wang, Shiyu, et al.
Published: (2024)
by: Wang, Shiyu, et al.
Published: (2024)
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation
by: Zhao, Xuanle, et al.
Published: (2025)
by: Zhao, Xuanle, et al.
Published: (2025)
Gradient-based Model Shortcut Detection for Time Series Classification
by: Ibarra, Salomon, et al.
Published: (2025)
by: Ibarra, Salomon, et al.
Published: (2025)
The Forecast After the Forecast: A Post-Processing Shift in Time Series
by: Liang, Daojun, et al.
Published: (2026)
by: Liang, Daojun, et al.
Published: (2026)
Rule Encoding and Compliance in Large Language Models: An Information-Theoretic Analysis
by: Diederich, Joachim
Published: (2025)
by: Diederich, Joachim
Published: (2025)
FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting
by: Ouyang, Pengpeng, et al.
Published: (2025)
by: Ouyang, Pengpeng, et al.
Published: (2025)
Shylock: Causal Discovery in Multivariate Time Series based on Hybrid Constraints
by: Li, Shuo, et al.
Published: (2025)
by: Li, Shuo, et al.
Published: (2025)
Similar Items
-
Extracting Training Dialogue Data from Large Language Model based Task Bots
by: Zhang, Shuo, et al.
Published: (2026) -
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
by: Zhang, Shuo, et al.
Published: (2023) -
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge
by: Xu, Nuo, et al.
Published: (2024) -
Adaptive Cubic Regularized Second-Order Latent Factor Analysis Model
by: Wang, Jialiang, et al.
Published: (2025) -
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
by: Ma, Jie, et al.
Published: (2023)