4 citations · 7 across the 4 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CL2023★ 2 cited
Novel Preprocessing Technique for Data Embedding in Engineering Code Generation Using Large Language Model
Yu-Chen Lin, Akhilesh Kumar, Norman Chang +6
We present four main contributions to enhance the performance of Large Language Models (LLMs) in generating domain-specific code: (i) utilizing LLM-based data splitting and data re…
physics.flu-dyn2023★ 4 cited
Diffusion model based data generation for partial differential equations
Rucha Apte, Sheel Nidhan, Rishikesh Ranade +1
In a preliminary attempt to address the problem of data scarcity in physics-based machine learning, we introduce a novel methodology for data generation in physics-based simulation…