language:
EverGreenQA - multilingual human-curated evergreen-aware QA dataset, which includes a train–test split suitable for model training.
BibTeX:
@misc{pletenev2025truetomorrowmultilingualevergreen,
title={Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA},
author={Sergey Pletenev and Maria Marina and Nikolay Ivanov and Daria Galimzianova and Nikita Krayko and Mikhail Salnikov and Vasily Konovalov and Alexander Panchenko and Viktor Moskvoretskii},
year={2025},
eprint={2505.21115},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2505.21115},
}
3 commits
language:
EverGreenQA - multilingual human-curated evergreen-aware QA dataset, which includes a train–test split suitable for model training.
BibTeX:
@misc{pletenev2025truetomorrowmultilingualevergreen,
title={Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA},
author={Sergey Pletenev and Maria Marina and Nikolay Ivanov and Daria Galimzianova and Nikita Krayko and Mikhail Salnikov and Vasily Konovalov and Alexander Panchenko and Viktor Moskvoretskii},
year={2025},
eprint={2505.21115},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2505.21115},
}
3 commits