4 citations · 7 across the 4 of their papers we have counts for
4 papers
OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery
Vignesh Prabhakar, Md Amirul Islam, Adam Atanas +8
Large Language Models (LLMs) have demonstrated remarkable potential in advancing scientific knowledge and addressing complex challenges. In this work, we introduce OmniScience, a s…
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…
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…
Systematic Analysis of Image Generation using GANs
Rohan Akut, Sumukh Marathe, Rucha Apte +2
Generative Adversarial Networks have been crucial in the developments made in unsupervised learning in recent times. Exemplars of image synthesis from text or other images, these n…