3 papers
cs.CL2026
Leveraging LLMs For Turkish Skill Extraction
Ezgi Arslan Ä°ltüzer, Ãzgür Anıl Ãzlü, Vahid Farajijobehdar +1
Skill extraction is a critical component of modern recruitment systems, enabling efficient job matching, personalized recommendations, and labor market analysis. Despite Türkiye's…
cs.CL2025
CorefInst: Leveraging LLMs for Multilingual Coreference Resolution
TuÄba Pamay Arslan, Emircan Erol, GülÅen EryiÄit
Coreference Resolution (CR) is a crucial yet challenging task in natural language understanding, often constrained by task-specific architectures and encoder-based language models…
cs.CL2025
ITUNLP at SemEval-2025 Task 8: Question-Answering over Tabular Data: A Zero-Shot Approach using LLM-Driven Code Generation
Atakan Site, Emre Hakan Erdemir, GülÅen EryiÄit
This paper presents our system for SemEval-2025 Task 8: DataBench, Question-Answering over Tabular Data. The primary objective of this task is to perform question answering on give…