11 papers
Household Movement Detection in Mixed-Format Occupancy Data Using LLM-Based Entity Resolution
Sasirekha Oguri, John R. Talburt, Mert Can Cakmak
Entity resolution (ER) typically relies on pairwise similarity comparisons between records, which limits its ability to capture indirect relationships present in demographic occupa…
Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems
Hendrika Maclean, Mert Can Cakmak, Muzakkiruddin Ahmed Mohammed +2
Large language models are now used daily for writing, search, and analysis, and their natural language understanding continues to improve. However, they remain unreliable on exact…
AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
Muzakkiruddin Ahmed Mohammed, Adeeba Tarannum, Eileen Devereux Dailey +3
Digital platforms increasingly support collaboration across organizations, yet many remain constrained by fragmented data and limited transparency. This paper presents the Global S…
A System for Name and Address Parsing with Large Language Models
Adeeba Tarannum, Muzakkiruddin Ahmed Mohammed, Mert Can Cakmak +2
Reliable transformation of unstructured person and address text into structured data remains a key challenge in large-scale information systems. Traditional rule-based and probabil…
Case Count Metric for Comparative Analysis of Entity Resolution Results
John R. Talburt, Muzakkiruddin Ahmed Mohammed, Mert Can Cakmak +4
This paper describes a new process and software system, the Case Count Metric System (CCMS), for systematically comparing and analyzing the outcomes of two different ER clustering…
Policy-Aware Generative AI for Safe, Auditable Data Access Governance
Shames Al Mandalawi, Muzakkiruddin Ahmed Mohammed, Hendrika Maclean +2
Enterprises need access decisions that satisfy least privilege, comply with regulations, and remain auditable. We present a policy aware controller that uses a large language model…