14 citations · 33 across the 19 of their papers we have counts for
4 papers · 1 filter
MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios
Basak Demirok, Mucahid Kutlu, Selin Mergen
As large language models (LLMs) rapidly advance, their role in code generation has expanded significantly. While this offers streamlined development, it also creates concerns in ar…
TurQUaz at CheckThat! 2025: Debating Large Language Models for Scientific Web Discourse Detection
Tarık Saraç, Selin Mergen, Mucahid Kutlu
In this paper, we present our work developed for the scientific web discourse detection task (Task 4a) of CheckThat! 2025. We propose a novel council debate method that simulates s…
NativQA Framework: Enabling LLMs and VLMs with Native, Local, and Everyday Knowledge
Firoj Alam, Md Arid Hasan, Sahinur Rahman Laskar +3
The rapid progress of large language models (LLMs) raises concerns about cultural bias, fairness, and performance in diverse languages and underrepresented regions. Addressing thes…
GenTREC: The First Test Collection Generated by Large Language Models for Evaluating Information Retrieval Systems
Mehmet Deniz Türkmen, Mucahid Kutlu, Bahadir Altun +1
Building test collections for Information Retrieval evaluation has traditionally been a resource-intensive and time-consuming task, primarily due to the dependence on manual releva…