5 papers
Generating Attacks for LLMs with GFlowNets
Berkay Ozcam, Irem Onen, Mehmet Fatih Amasyali +1
The rapid advancement of Large Language Models (LLMs) has facilitated their ubiquitous integration into various domains, leading to widespread adoption. However, this escalating tr…
Robust Change Captioning in Remote Sensing: SECOND-CC Dataset and MModalCC Framework
Ali Can Karaca, M. Enes Ozelbas, Saadettin Berber +3
Remote sensing change captioning (RSICC) aims to describe changes between bitemporal images in natural language. Existing methods often fail under challenges like illumination diff…
Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training
H. Toprak Kesgin, M. Kaan Yuce, Eren Dogan +7
In this study, we develop and assess new corpus selection and training methodologies to improve the effectiveness of Turkish language models. Specifically, we adapted Large Languag…
Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: Görselle Sohbet Etmek
Ahmed Zeer, Eren Dogan, Yusuf Erdem +7
In this study, a Turkish visual instruction model was developed and various model architectures and dataset combinations were analysed to improve the performance of this model. The…
Scaling BERT Models for Turkish Automatic Punctuation and Capitalization Correction
Abdulkader Saoud, Mahmut Alomeyr, Himmet Toprak Kesgin +1
This paper investigates the effectiveness of BERT based models for automated punctuation and capitalization corrections in Turkish texts across five distinct model sizes. The model…