Papers by Mohammad Arvan

2 papers
Exploring Variation of Results from Different Experimental Conditions (2023.findings-acl)

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Challenge: Recent research has shown that reproducibility of NLP experiments is not guaranteed by arbitrary factors like random seed and different data splits.
Approach: They propose to run the training and testing pipeline for three neural text simplification models under varying experimental conditions using the same data and train/dev/test set splits.
Outcome: The proposed pipeline yields a large number of results for three neural text simplification models under varying experimental conditions.
Reproducibility in Computational Linguistics: Is Source Code Enough? (2022.emnlp-main)

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Challenge: a recent study finds that source code releases leave much to be desired . authors can include small-scale experiments and explicit scripts to generate each result .
Approach: They propose that conferences require self-contained artifacts to evaluate their reproducibility . authors suggest authors include small-scale experiments and explicit scripts to generate results .
Outcome: The authors find that source code releases leave much to be desired . authors can include small-scale experiments and explicit scripts to generate each result .

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