Recoverable Identifier
advisory
doi_compliance
recoverable_identifier
DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2023.emnlp-main.153.URLhttps://aclanthology.org/2023.emnlp-main.153/) was visible in the surrounding text but could not be confirmed against doi.org as printed.
Paper page Integrity report arXiv Try DOI
Evidence text
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. G- Eval: Nlg evaluation using GPT-4 with better human alignment. InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2511–2522, Sin- gapore, December 2023. Association for Computational Linguistics. doi: 10.18653/v1/2023. emnlp-main.153. URLhttps://aclanthology.org/2023.emnlp-main.153/
Evidence payload
{
"printed_excerpt": "Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. G- Eval: Nlg evaluation using GPT-4 with better human alignment. InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2",
"reconstructed_doi": "10.18653/v1/2023.emnlp-main.153.URLhttps://aclanthology.org/2023.emnlp-main.153/",
"ref_index": 32,
"resolved_title": null,
"verdict_class": "incontrovertible"
}