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.741.URL) 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
URL https://proceedings.neurips. cc/paper_files/paper/2021/file/ 0d441de75945e5acbc865406fc9a2559-Paper. pdf. Grover, A., Wang, E., Zweig, A., and Ermon, S. Stochastic optimization of sorting networks via continuous relax- ations. InInternational Conference on Learning Rep- resentations, 2019. URL https://openreview. net/forum?id=H1eSS3CcKX. Hendrycks, D., Burns, C., Kadavath, S., Arora, A., Basart, S., Tang, E., Song, D., and Steinhardt, J. Measuring mathematical problem solving with the MATH dataset. In Vanschoren, J. and Yeung, S. (eds.),Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, volume 1, 2021. URLhttps: //datasets-benchmarks-proceedings. neurips.cc/paper_ files/paper/2021/file/ be83ab3ecd0db773eb2dc1b0a17836a1-Paper-round2. pdf. Kadavath, S., Conerly, T., Askell, A., Henighan, T., Drain, D., Perez, E., Schiefer, N., Hatfield-Dodds, Z., DasSarma, N., Tran-Johnson, E., Johnston, S., El-Showk, S., Jones, A., Elhage, N., Hume, T., Chen, A., Bai, Y ., Bowman, S., Fort, S., Ganguli, D., Hernandez, D., Jacobson, J., Kernion, J., Kravec, S., Lovitt, L., Ndousse, K., Olsson, C., Ringer, S., Amodei, D., Brown, T., Clark, J., Joseph, N., Mann, B., McCandlish, S., Olah, C., and Kaplan, J. Language models (mostly) know what they know, 2022. URLhttps://arxiv.org/abs/2207.05221. Kumar, B., Lu, C., Gupta, G., Palepu, A., Bellamy, D., Raskar, R., and Beam, A. Conformal prediction with large language models for multi-choice question answer-
Evidence payload
{
"printed_excerpt": "URL https://proceedings.neurips. cc/paper_files/paper/2021/file/ 0d441de75945e5acbc865406fc9a2559-Paper. pdf. Grover, A., Wang, E., Zweig, A., and Ermon, S. Stochastic optimization of sorting networks via continuous relax- ations. InInterna",
"reconstructed_doi": "10.18653/v1/2023.emnlp-main.741.URL",
"ref_index": 3,
"resolved_title": null,
"verdict_class": "incontrovertible"
}