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Reviewers: @Manvi-Agrawal (all reviews), @camilochs (all reviews)
Authors
Sayak Chakrabarty (0009-0004-6179-389X), Souradip Pal (0000-0002-5781-3032)
Citation
Chakrabarty et al., (2025). ReadmeReady: Free and Customizable Code Documentation with LLMs - A Fine-Tuning Approach. Journal of Open Source Software, 10(108), 7489, https://doi.org/10.21105/joss.07489
@article{Chakrabarty2025,
doi = {10.21105/joss.07489},
url = {https://doi.org/10.21105/joss.07489},
year = {2025},
publisher = {The Open Journal},
volume = {10},
number = {108},
pages = {7489},
author = {Sayak Chakrabarty and Souradip Pal},
title = {ReadmeReady: Free and Customizable Code Documentation with LLMs - A Fine-Tuning Approach},
journal = {Journal of Open Source Software}
}
Tags
python machine learning large language models retrieval augmented generation fine-tuning
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