6 papers
Urban Mobility Assessment Using LLMs
Prabin Bhandari, Antonios Anastasopoulos, Dieter Pfoser
Understanding urban mobility patterns and analyzing how people move around cities helps improve the overall quality of life and supports the development of more livable, efficient,…
Using Contextual Information for Sentence-level Morpheme Segmentation
Prabin Bhandari, Abhishek Paudel
Recent advancements in morpheme segmentation primarily emphasize word-level segmentation, often neglecting the contextual relevance within the sentence. In this study, we redefine…
A Survey on Prompting Techniques in LLMs
Prabin Bhandari
Autoregressive Large Language Models have transformed the landscape of Natural Language Processing. Pre-train and prompt paradigm has replaced the conventional approach of pre-trai…
Are Large Language Models Geospatially Knowledgeable?
Prabin Bhandari, Antonios Anastasopoulos, Dieter Pfoser
Despite the impressive performance of Large Language Models (LLM) for various natural language processing tasks, little is known about their comprehension of geographic data and re…
Trustworthiness of Children Stories Generated by Large Language Models
Prabin Bhandari, Hannah Marie Brennan
Large Language Models (LLMs) have shown a tremendous capacity for generating literary text. However, their effectiveness in generating children's stories has yet to be thoroughly e…
Estimation of Vehicular Velocity based on Non-Intrusive stereo camera
Bikram Adhikari, Prabin Bhandari
The paper presents a modular approach for the estimation of a leading vehicle's velocity based on a non-intrusive stereo camera where SiamMask is used for leading vehicle tracking,…