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cs.CL2025
DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph Retrieval-Augmented Generation
Karishma Thakrar
Graph Retrieval-Augmented Generation (GRAG or Graph RAG) architectures aim to enhance language understanding and generation by leveraging external knowledge. However, effectively c…
cs.CL2025
StAyaL | Multilingual Style Transfer
Karishma Thakrar, Katrina Lawrence, Kyle Howard
Stylistic text generation plays a vital role in enhancing communication by reflecting the nuances of individual expression. This paper presents a novel approach for generating text…
cs.CL2025★ 1 cited
Enhancing Talent Employment Insights Through Feature Extraction with LLM Finetuning
Karishma Thakrar, Nick Young
This paper explores the application of large language models (LLMs) to extract nuanced and complex job features from unstructured job postings. Using a dataset of 1.2 million job p…