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cs.CL2026
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…
cs.CL2026
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…