most citedLLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2025

SI-Agent: An Agentic Framework for Feedback-Driven Generation and Tuning of Human-Readable System Instructions for Large Language Models

Jeshwanth Challagundla, Mantek Singh, Siddharth Raina +3

System Instructions (SIs), or system prompts, are pivotal for guiding Large Language Models (LLMs) but manual crafting is resource-intensive and often suboptimal. Existing automate…