69 citations · 99 across the 18 of their papers we have counts for
3 papers · 1 filter
FIBER: A Multilingual Evaluation Resource for Factual Inference Bias
Evren Ayberk Munis, Deniz Yılmaz, Arianna Muti +1
Large language models are widely used across domains, yet there are concerns about their factual reliability and biases. Factual knowledge probing offers a systematic means to eval…
OpenEthics: A Comprehensive Ethical Evaluation of Open-Source Generative Large Language Models
Yıldırım Özen, Burak Erinç Çetin, Kaan Engür +2
Generative large language models present significant potential but also raise critical ethical concerns, including issues of safety, fairness, robustness, and reliability. Most exi…
Evaluating the Quality of Benchmark Datasets for Low-Resource Languages: A Case Study on Turkish
Ayşe Aysu Cengiz, Ahmet Kaan Sever, Elif Ecem Ümütlü +6
The reliance on translated or adapted datasets from English or multilingual resources introduces challenges regarding linguistic and cultural suitability. This study addresses the…