4 papers
RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models
Yusuf Ãelebi, YaÄız Asker, Ãzay 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
Ãzay Ezerceli, Mahmoud El Hussieni, Selva TaÅ +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 TaÅ, Mahmut El Huseyni, Ãzay 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
Ãzgür UÄur, Musa Yılmaz, Esra Åavirdi +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…