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.609.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://openreview.net/forum? id=AwyxtyMwaG. Kevin Ro Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, and Jacob Steinhardt. Interpretability in the wild: a circuit for indirect object identification in GPT-2 small. InThe Eleventh International Confer- ence on Learning Representations, 2023a. URL https: //openreview.net/forum?id=NpsVSN6o4ul. Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fan- dong Meng, Jie Zhou, and Xu Sun. Label words are an- chors: An information flow perspective for understanding in-context learning. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.),Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 9840–9855, Singapore, December 2023b. Association for Computational Linguistics. doi: 10.18653/v1/2023. emnlp-main.609. URL https://aclanthology. org/2023.emnlp-main.609/. Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios G Chrysos, Samet Oymak, Kangwook Lee, and Dimitris Papailiopoulos. Everything everywhere all at once: Llms can in-context learn multiple tasks in superposition, 2024. URLhttps://arxiv.org/abs/2410.05603. An Yang, Anfeng Li, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Gao, Chen- gen Huang, Chenxu Lv, Chujie Zheng, Dayiheng Liu, Fan Zhou, Fei Huang, Feng Hu, Hao Ge, Haoran Wei, Huan Lin, Jialong Tang, Jian Yang, Jianhong Tu, Jian- wei Zhang, Jianxin Yang, Jiax
Evidence payload
{
"printed_excerpt": "URL https://openreview.net/forum? id=AwyxtyMwaG. Kevin Ro Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, and Jacob Steinhardt. Interpretability in the wild: a circuit for indirect object identification in GPT-2 small. InThe Eleve",
"reconstructed_doi": "10.18653/v1/2023.emnlp-main.609.URL",
"ref_index": 14,
"resolved_title": null,
"verdict_class": "incontrovertible"
}