Towards Neural Language Evaluators. - Hassan Kané; Yusuf Kocyigit; Pelkins Ajanoh; Ali Abdalla; Mohamed Coulibali (CoRR, 2019)

NUBIA: NeUral Based Interchangeability Assessor for Text Generation. - Hassan Kané; Muhammed Yusuf Kocyigit; Ali Abdalla; Pelkins Ajanoh; Mohamed Coulibali (CoRR, 2020)

Better Quality Estimation for Low Resource Corpus Mining. - Muhammed Yusuf Kocyigit; Jiho Lee; Derry Wijaya (ACL (Findings), 2022)

AugCSE: Contrastive Sentence Embedding with Diverse Augmentations. - Zilu Tang; Muhammed Yusuf Kocyigit; Derry Tanti Wijaya (AACL/IJCNLP (1), 2022)

On Measuring Social Biases in Prompt-Based Multi-Task Learning. - Afra Feyza Akyürek; Sejin Paik; Muhammed Yusuf Kocyigit; Seda Akbiyik; Serife Leman Runyun; Derry Wijaya (NAACL-HLT (Findings), 2022)

Challenges in Measuring Bias via Open-Ended Language Generation. - Afra Feyza Akyürek; Muhammed Yusuf Kocyigit; Sejin Paik; Derry Wijaya (CoRR, 2022)

A Novel Method for Analysing Racial Bias: Collection of Person Level References. - Muhammed Yusuf Kocyigit; Anietie Andy; Derry Wijaya (CoRR, 2023)

Western, Religious or Spiritual: An Evaluation of Moral Justification in Large Language Models. - Eyup Engin Kucuk; Muhammed Yusuf Kocyigit (CoRR, 2023)

Evaluation data contamination in LLMs: how do we measure it and (when) does it matter? - Aaditya K. Singh; Muhammed Yusuf Kocyigit; Andrew Poulton; David Esiobu; Maria Lomeli; Gergely Szilvasy; Dieuwke Hupkes (CoRR, 2024)

Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination's Impact on Machine Translation. - Muhammed Yusuf Kocyigit; Eleftheria Briakou; Daniel Deutsch; Jiaming Luo; Colin Cherry; Markus Freitag (CoRR, 2025)