2 papers
cs.CL2025
Comparing the Performance of LLMs in RAG-based Question-Answering: A Case Study in Computer Science Literature
Ranul Dayarathne, Uvini Ranaweera, Upeksha Ganegoda
Retrieval Augmented Generation (RAG) is emerging as a powerful technique to enhance the capabilities of Generative AI models by reducing hallucination. Thus, the increasing promine…
cs.LG2025
Comparison of Machine Learning Models to Classify Documents on Digital Development
Uvini Ranaweera, Bawun Mawitagama, Sanduni Liyanage +3
Automated document classification is a trending topic in Natural Language Processing (NLP) due to the extensive growth in digital databases. However, a model that fits well for a s…