ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment.
- DOI
- 10.18653/v1/2024.emnlp-main.682
- Published
- 2024 Nov
- Container
- Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.18653/v1/2024.emnlp-main.682,
title = {ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment.},
author = {Naous T and Ryan MJ and Lavrouk A and Chandra M and Xu W},
year = {2024},
journal = {Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing},
doi = {10.18653/v1/2024.emnlp-main.682},
url = {https://doi.org/10.18653/v1/2024.emnlp-main.682}
}RIS
TY - JOUR TI - ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment. AU - Naous T AU - Ryan MJ AU - Lavrouk A AU - Chandra M AU - Xu W PY - 2024 JO - Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing DO - 10.18653/v1/2024.emnlp-main.682 UR - https://doi.org/10.18653/v1/2024.emnlp-main.682 ER -
APA
T, N., MJ, R., A, L., M, C., & W, X. (2024). ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment.. Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/v1/2024.emnlp-main.682
Source records
- pubmed · retrieved 2026-09-27T10:30:18.901Z