3 papers
cs.LG2026
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…
cs.CL2025
PARROT: Persuasion and Agreement Robustness Rating of Output Truth -- A Sycophancy Robustness Benchmark for LLMs
Yusuf Ãelebi, Ãzay 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…
cs.CL2025
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…