activity
20242026
collaborators

5 papers

cs.IR2026

SARCLIP: A Scalable CLIP-Based Retrieval System for Seventeenth-Century Spanish American Notary Records

Chandrasekhar Syamala, Parshad Suthar, Hulayyil Alshammari +2

Historical manuscript archives resist standard text search due to inconsistent handwriting, archaic orthography, and the absence of reliable transcriptions at scale. We present SAR…

cs.LG2026

Performance of Small Language Model Pretraining on FABRIC: An Empirical Study

Praveen Rao

Large language models (LLMs) require enormous computing power to pretrain on massive datasets. When limited datasets are available, smaller-sized LLMs are better choice to pretrain…

cs.DC2025

Optimizing the Variant Calling Pipeline Execution on Human Genomes Using GPU-Enabled Machines

Ajay Kumar, Praveen Rao, Peter Sanders

Variant calling is the first step in analyzing a human genome and aims to detect variants in an individual's genome compared to a reference genome. Due to the computationally-inten…

cs.CL2025

Evaluating the Performance of AI Text Detectors, Few-Shot and Chain-of-Thought Prompting Using DeepSeek Generated Text

Hulayyil Alshammari, Praveen Rao

Large language models (LLMs) have rapidly transformed the creation of written materials. LLMs have led to questions about writing integrity, thereby driving the creation of artific…

cs.CL2024

Seventeenth-Century Spanish American Notary Records for Fine-Tuning Spanish Large Language Models

Shraboni Sarker, Ahmad Tamim Hamad, Hulayyil Alshammari +2

Large language models have gained tremendous popularity in domains such as e-commerce, finance, healthcare, and education. Fine-tuning is a common approach to customize an LLM on a…