Osman Alperen Koraş — accepted AI-conference papers

2025

Towards Conditioning Clinical Text Generation for User Control

Osman Alperen Koraş, Rabi Bahnan, Jens Kleesiek, Amin Dada

ACL 2025finding

Deploying natural language generation systems in clinical settings remains challenging despite advances in Large Language Models (LLMs), which continue to exhibit hallucinations and factual inconsistencies, necessitating human oversight. This paper explores automated dataset augmentation using LLMs…

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2023

Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models

Paul Youssef, Osman Alperen Koraş, Meijie Li, Jörg Schlötterer, Christin Seifert

EMNLP 2023long findings

Pre-trained Language Models (PLMs) are trained on vast unlabeled data, rich in world knowledge. This fact has sparked the interest of the community in quantifying the amount of factual knowledge present in PLMs, as this explains their performance on downstream tasks, and potentially justifies their…

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