4 papers
RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models
Yusuf Çelebi, Yağız Asker, Özay Ezerceli +4
Fine-tuning Large Language Models (LLMs) remains structurally uncertain despite parameter-efficient methods such as Low-Rank Adaptation (LoRA), as the layer-specific roles of inter…
TurkColBERT: A Benchmark of Dense and Late-Interaction Models for Turkish Information Retrieval
Özay Ezerceli, Mahmoud El Hussieni, Selva Taş +4
Neural information retrieval systems excel in high-resource languages but remain underexplored for morphologically rich, lower-resource languages such as Turkish. Dense bi-encoders…
Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications
Selva Taş, Mahmut El Huseyni, Özay Ezerceli +2
The widespread adoption of Large Language Models (LLMs) has been hindered by their tendency to hallucinate, generating plausible but factually incorrect information. While Retrieva…
Guided Decoding and Its Critical Role in Retrieval-Augmented Generation
Özgür Uğur, Musa Yılmaz, Esra Şavirdi +4
The integration of Large Language Models (LLMs) into various applications has driven the need for structured and reliable responses. A key challenge in Retrieval-Augmented Generati…