1 citations · 2 across the 9 of their papers we have counts for
9 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…
A Hybrid Protocol for Large-Scale Semantic Dataset Generation in Low-Resource Languages: The Turkish Semantic Relations Corpus
Ebubekir Tosun, Mehmet Emin Buldur, Özay Ezerceli +1
We present a hybrid methodology for generating large-scale semantic relationship datasets in low-resource languages, demonstrated through a comprehensive Turkish semantic relations…
Beyond Cosine Similarity: Taming Semantic Drift and Antonym Intrusion in a 15-Million Node Turkish Synonym Graph
Ebubekir Tosun, Mehmet Emin Buldur, Özay Ezerceli +1
Neural embeddings have a notorious blind spot: they can't reliably tell synonyms apart from antonyms. Consequently, increasing similarity thresholds often fails to prevent opposite…
PARROT: Persuasion and Agreement Robustness Rating of Output Truth -- A Sycophancy Robustness Benchmark for LLMs
Yusuf Çelebi, Özay Ezerceli, Mahmoud El Hussieni
This study presents PARROT (Persuasion and Agreement Robustness Rating of Output Truth), a robustness focused framework designed to measure the degradation in accuracy that occurs…
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…
TurkEmbed: Turkish Embedding Model on NLI & STS Tasks
Özay Ezerceli, Gizem Gümüşçekiçci, Tuğba Erkoç +1
This paper introduces TurkEmbed, a novel Turkish language embedding model designed to outperform existing models, particularly in Natural Language Inference (NLI) and Semantic Text…
TurkEmbed4Retrieval: Turkish Embedding Model for Retrieval Task
Özay Ezerceli, Gizem Gümüşçekiçci, Tuğba Erkoç +1
In this work, we introduce TurkEmbed4Retrieval, a retrieval specialized variant of the TurkEmbed model originally designed for Natural Language Inference (NLI) and Semantic Textual…
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…