Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020
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Updated
Jan 6, 2022 - Python
Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020
Reproducibility Challenge 2020 papers
Code, data and results of a reproducibility experiment for the paper "Exploring the Representation of Word Meanings in Context" by Marcos Garcia.
A reproducibility study for the paper MAGE: Machine-generated Text Detection in the Wild, implementing Longformer and DistilBERT models to detect machine-generated text across diverse domains. This repository includes datasets, scripts, and evaluation metrics for benchmarking detection performance.
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