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Osman Tursun

2 accepted papers

2025

TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages

ACL 2025long

Being able to thoroughly assess massive multi-task language understanding (MMLU) capabilities is essential for advancing the applicability of multilingual language models. However, preparing such benchmarks in high quality native language is often costly and therefore limits the representativeness o…

2022

SESS: Saliency Enhancing with Scaling and Sliding

ECCV 2022poster

"High-quality saliency maps are essential in several machine learning application areas including explainable AI and weakly supervised object detection and segmentation. Many techniques have been developed to generate better saliency using neural networks. However, they are often limited to specific…