Reproducibility in Computational Linguistics: Is Source Code Enough? - Mohammad Arvan; Luís Pina; Natalie Parde (EMNLP, 2022)

Exploring Variation of Results from Different Experimental Conditions. - Maja Popovic; Mohammad Arvan; Natalie Parde; Anya Belz (ACL (Findings), 2023)

Linguistic Cognitive Load Analysis on Dialogues with an Intelligent Virtual Assistant. - Mohammad Arvan; Mina Valizadeh; Parian Haghighat; Toan Nguyen; Heejin Jeong; Natalie Parde (CogSci, 2023)

Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective. - Mohammad Arvan; A. Seza Dogruöz; Natalie Parde (INTERSPEECH, 2023)

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. - Anya Belz; Craig Thomson; Ehud Reiter; Gavin Abercrombie; Jose Maria Alonso-Moral; Mohammad Arvan; Jackie Chi Kit Cheung; Mark Cieliebak; Elizabeth Clark; Kees van Deemter; Tanvi Dinkar; Ondrej Dusek; et al. (CoRR, 2023)