Out-of-distribution (OOD) intent detection remains a critical challenge for deploying conversational agents in realworld scenarios. This paper presents a comparative analysis of three distinct paradigms for OOD detection: embedding-based semantic similarity, zero-shot Large Language Model (LLM) reasoning, and Retrieval...
Ebru Koçdor, Furkan Göz· Automation, Control, and Inf...· 0 citations
Large Language Models have shown considerable potential for academic document understanding, but their use in information extraction remains limited by hallucination and incomplete evidence grounding. This study presents an end-to-end Retrieval-Augmented Generation framework using a domain-adapted Llama 3.1 8B Instruct...
Y. Dikilitaş, A. Sayar, Furkan Göz· Applied Sciences· 0 citations
A confidence-aware hybrid vision–language framework engineered for traditional Turkish food recognition and structured nutritional assessment that demonstrates localized plate detection, adaptive portion analysis, and structured nutrient tracking, providing a scalable design for consumer-facing digital nutrition platfo...
Furkan Göz, Muhammad Jamil, A. Kavak et al.· Nutrients· 0 citations
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