A Systematic Review of Reproducibility Research in Natural Language Processing

14 March 2021

Papers citing "A Systematic Review of Reproducibility Research in Natural Language Processing"

8 / 8 papers shown

Title
CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark Zachary S. Siegel Sayash Kapoor Nitya Nagdir Benedikt Stroebl Arvind Narayanan 29 8 0 17 Sep 2024
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers Harald Semmelrock Tony Ross-Hellauer Simone Kopeinik Dieter Theiler Armin Haberl Stefan Thalmann Dominik Kowald 65 6 0 20 Jun 2024
A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study Osman Alperen Koras Jorg Schlotterer Christin Seifert 34 1 0 05 Mar 2024
Position: Key Claims in LLM Research Have a Long Tail of Footnotes Anna Rogers A. Luccioni 48 19 0 14 Aug 2023
A Two-Sided Discussion of Preregistration of NLP Research Anders Søgaard Daniel Hershcovich Miryam de Lhoneux OnRL AI4CE 30 3 0 20 Feb 2023
Quantified Reproducibility Assessment of NLP Results Anya Belz Maja Popović Simon Mille 30 28 0 12 Apr 2022
Small data problems in political research: a critical replication study Hugo De Vos Suzan Verberne 22 2 0 27 Sep 2021
Translating from Morphologically Complex Languages: A Paraphrase-Based Approach Preslav Nakov Hwee Tou Ng 11 23 0 27 Sep 2021