Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Rousseau, Cécile, Boschi, Tobia, Cornacchia, Giandomenico, Salwala, Dhaval, Pascale, Alessandra, Moreno, Juan Bernabe |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models
by: Tirupathi, Seshu, et al.
Published: (2025)
by: Tirupathi, Seshu, et al.
Published: (2025)
Functional Graph Convolutional Networks: A unified multi-task and multi-modal learning framework to facilitate health and social-care insights
by: Boschi, Tobia, et al.
Published: (2024)
by: Boschi, Tobia, et al.
Published: (2024)
Synthetic Data Generation for Phrase Break Prediction with Large Language Model
by: Lee, Hoyeon, et al.
Published: (2025)
by: Lee, Hoyeon, et al.
Published: (2025)
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
by: Marinescu, Radu, et al.
Published: (2025)
by: Marinescu, Radu, et al.
Published: (2025)
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
by: Carnerero-Cano, Javier, et al.
Published: (2026)
by: Carnerero-Cano, Javier, et al.
Published: (2026)
ForgeDAN: An Evolutionary Framework for Jailbreaking Aligned Large Language Models
by: Cheng, Siyang, et al.
Published: (2025)
by: Cheng, Siyang, et al.
Published: (2025)
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
by: Liu, Fuqiang, et al.
Published: (2024)
by: Liu, Fuqiang, et al.
Published: (2024)
Self-Boosting Large Language Models with Synthetic Preference Data
by: Dong, Qingxiu, et al.
Published: (2024)
by: Dong, Qingxiu, et al.
Published: (2024)
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models
by: Ma, Shengjie, et al.
Published: (2025)
by: Ma, Shengjie, et al.
Published: (2025)
TimeSense:Making Large Language Models Proficient in Time-Series Analysis
by: Zhang, Zhirui, et al.
Published: (2025)
by: Zhang, Zhirui, et al.
Published: (2025)
Large Language Models for Time Series: A Survey
by: Zhang, Xiyuan, et al.
Published: (2024)
by: Zhang, Xiyuan, et al.
Published: (2024)
Utilizing Large Language Models to Generate Synthetic Data to Increase the Performance of BERT-Based Neural Networks
by: Woolsey, Chancellor R., et al.
Published: (2024)
by: Woolsey, Chancellor R., et al.
Published: (2024)
Scaling Laws of Synthetic Data for Language Models
by: Qin, Zeyu, et al.
Published: (2025)
by: Qin, Zeyu, et al.
Published: (2025)
Persona-Based Synthetic Data Generation Using Multi-Stage Conditioning with Large Language Models for Emotion Recognition
by: Inoshita, Keito, et al.
Published: (2025)
by: Inoshita, Keito, et al.
Published: (2025)
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models
by: Yuan, Yefeng, et al.
Published: (2024)
by: Yuan, Yefeng, et al.
Published: (2024)
Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models
by: Ghanadian, Hamideh, et al.
Published: (2024)
by: Ghanadian, Hamideh, et al.
Published: (2024)
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
by: Bang, Yejin, et al.
Published: (2024)
by: Bang, Yejin, et al.
Published: (2024)
Delusions of Large Language Models
by: Xu, Hongshen, et al.
Published: (2025)
by: Xu, Hongshen, et al.
Published: (2025)
FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models
by: Lan, Kaixin, et al.
Published: (2024)
by: Lan, Kaixin, et al.
Published: (2024)
SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task
by: Zhong, Ziije, et al.
Published: (2024)
by: Zhong, Ziije, et al.
Published: (2024)
Synthetic Query Generation using Large Language Models for Virtual Assistants
by: Sannigrahi, Sonal, et al.
Published: (2024)
by: Sannigrahi, Sonal, et al.
Published: (2024)
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
by: Ulm, Jannek, et al.
Published: (2025)
by: Ulm, Jannek, et al.
Published: (2025)
R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?
by: Zhang, Jingyi, et al.
Published: (2026)
by: Zhang, Jingyi, et al.
Published: (2026)
Modular Techniques for Synthetic Long-Context Data Generation in Language Model Training and Evaluation
by: Subramanian, Seganrasan, et al.
Published: (2025)
by: Subramanian, Seganrasan, et al.
Published: (2025)
Auto-BenchmarkCard: Automated Synthesis of Benchmark Documentation
by: Hofmann, Aris, et al.
Published: (2025)
by: Hofmann, Aris, et al.
Published: (2025)
Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law
by: Bashir, Ali Hamza, et al.
Published: (2026)
by: Bashir, Ali Hamza, et al.
Published: (2026)
TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models
by: Rousseau, Cécile, et al.
Published: (2026)
by: Rousseau, Cécile, et al.
Published: (2026)
Configurable Safety Tuning of Language Models with Synthetic Preference Data
by: Gallego, Victor
Published: (2024)
by: Gallego, Victor
Published: (2024)
STELLA: Guiding Large Language Models for Time Series Forecasting with Semantic Abstractions
by: Fan, Junjie, et al.
Published: (2025)
by: Fan, Junjie, et al.
Published: (2025)
Training a Large Language Model for Medical Coding Using Privacy-Preserving Synthetic Clinical Data
by: Cook, John, et al.
Published: (2026)
by: Cook, John, et al.
Published: (2026)
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation
by: Zhu, Alan, et al.
Published: (2025)
by: Zhu, Alan, et al.
Published: (2025)
DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
by: Zhou, Ying, et al.
Published: (2024)
by: Zhou, Ying, et al.
Published: (2024)
Hyperbolic Safety-Aware Vision-Language Models
by: Poppi, Tobia, et al.
Published: (2025)
by: Poppi, Tobia, et al.
Published: (2025)
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models
by: Havrilla, Alex, et al.
Published: (2024)
by: Havrilla, Alex, et al.
Published: (2024)
TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics
by: Boschi, Tobia, et al.
Published: (2026)
by: Boschi, Tobia, et al.
Published: (2026)
Small Language Model as Data Prospector for Large Language Model
by: Ni, Shiwen, et al.
Published: (2024)
by: Ni, Shiwen, et al.
Published: (2024)
High-Dimension Human Value Representation in Large Language Models
by: Cahyawijaya, Samuel, et al.
Published: (2024)
by: Cahyawijaya, Samuel, et al.
Published: (2024)
Synthetic Feature Augmentation Improves Generalization Performance of Language Models
by: Choudhary, Ashok, et al.
Published: (2025)
by: Choudhary, Ashok, et al.
Published: (2025)
TharuChat: Bootstrapping Large Language Models for a Low-Resource Language via Synthetic Data and Human Validation
by: Panth, Prajwal, et al.
Published: (2026)
by: Panth, Prajwal, et al.
Published: (2026)
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
by: Liu, Haoxin, et al.
Published: (2024)
by: Liu, Haoxin, et al.
Published: (2024)
Similar Items
-
GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models
by: Tirupathi, Seshu, et al.
Published: (2025) -
Functional Graph Convolutional Networks: A unified multi-task and multi-modal learning framework to facilitate health and social-care insights
by: Boschi, Tobia, et al.
Published: (2024) -
Synthetic Data Generation for Phrase Break Prediction with Large Language Model
by: Lee, Hoyeon, et al.
Published: (2025) -
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
by: Marinescu, Radu, et al.
Published: (2025) -
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
by: Carnerero-Cano, Javier, et al.
Published: (2026)