LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing

arXiv:2609.16155 · cs.LG, cs.AI · Submitted 2026-09-14 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-09-14

Updated: 2026-09-14

Comments: 7 pages, 4 figures. Published in the 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)

Journal ref: 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML), pp. 2053-2059, IEEE, 2024

DOI: 10.1109/ICICML63543.2024.10958017

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• RAG — 14× in this paper · explained in 3 episodes
• Fine-Tuning — 12× in this paper · explained in 5 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Data Augmentation — 3× in this paper · explained in 7 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Moving Average — 3× in this paper
• Predictive Maintenance — 3× in this paper · explained in 2 episodes
• Retrieval Augmented Generation — 3× in this paper
• alpha — 3× in this paper · explained in 1 episode
• Latent Space — 2× in this paper · explained in 7 episodes
• Long Short-Term Memory — 2× in this paper
• Retrieval Augmented Generation (RAG) — 2× in this paper · explained in 4 episodes
• Synthetic Data Generation — 2× in this paper · explained in 5 episodes
• Wasserstein Distance — 2× in this paper · explained in 4 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Computing and Communication Workshop and Conference — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Dynamic Time Warping — 1× in this paper
• Dynamic Time Warping (DTW) — 1× in this paper · explained in 2 episodes
• Ensemble Approach — 1× in this paper · explained in 3 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Principal Component Analysis — 1× in this paper
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Deep Learning for Anomaly Detection: A Survey
• Auto-Encoding Variational Bayes
• LoRA: Low-Rank Adaptation of Large Language Models
• QLoRA: Efficient Finetuning of Quantized LLMs
• Dense Passage Retrieval for Open-Domain Question Answering

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