{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T02:09:16Z","timestamp":1773972556490,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819601189","type":"print"},{"value":"9789819601196","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0119-6_28","type":"book-chapter","created":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T19:03:04Z","timestamp":1731783784000},"page":"288-295","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["ZeFaV: Boosting Large Language Models for\u00a0Zero-Shot Fact Verification"],"prefix":"10.1007","author":[{"given":"Son T.","family":"Luu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiep","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Trung","family":"Vo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Le-Minh","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,12]]},"reference":[{"key":"28_CR1","unstructured":"Achiam, J., et\u00a0al.: Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)"},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Aly, R., Guo, Z., Schlichtkrull, M.S., Thorne, J., Vlachos, A., Christodoulopoulos, C., Cocarascu, O., Mittal, A.: The fact extraction and VERification over unstructured and structured information (FEVEROUS) shared task. In: Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER), pp. 1\u201313 (2021)","DOI":"10.18653\/v1\/2021.fever-1.1"},{"key":"28_CR3","unstructured":"Buzan, T., Buzan, B., Harrison, J.: The mind map book: Unlock your creativity, boost your memory, change your life (2010)"},{"key":"28_CR4","unstructured":"Cao, H., Wei, L., Chen, M., Zhou, W., Hu, S.: Are large language models good fact checkers: A preliminary study. arXiv preprint arXiv:2311.17355 (2023)"},{"key":"28_CR5","unstructured":"Cheng, X., Tan, Z., Lu, W.: Information re-organization improves reasoning in large language models. arXiv preprint arXiv:2404.13985 (2024)"},{"key":"28_CR6","doi-asserted-by":"crossref","unstructured":"Gao, T., et al.: FewRel 2.0: towards more challenging few-shot relation classification. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 6250\u20136255. Hong Kong, China (2019)","DOI":"10.18653\/v1\/D19-1649"},{"key":"28_CR7","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1162\/tacl_a_00454","volume":"10","author":"Z Guo","year":"2022","unstructured":"Guo, Z., Schlichtkrull, M., Vlachos, A.: A survey on automated fact-checking. Trans. Assoc. Comput. Linguist. 10, 178\u2013206 (2022)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"28_CR8","unstructured":"Hu, E.J., .: Lora: Low-rank adaptation of large language models. arXiv preprint arXiv:2106.09685 (2021)"},{"key":"28_CR9","doi-asserted-by":"crossref","unstructured":"Jiang, Y., Bordia, S., Zhong, Z., Dognin, C., Singh, M., Bansal, M.: Hover: A dataset for many-hop fact extraction and claim verification. arXiv preprint arXiv:2011.03088 (2020)","DOI":"10.18653\/v1\/2020.findings-emnlp.309"},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Li, J., Wang, Y., Zhang, S., Zhang, M.: Rethinking document-level relation extraction: a reality check. In: Findings of the Association for Computational Linguistics, pp. 5715\u20135730 (2023)","DOI":"10.18653\/v1\/2023.findings-acl.353"},{"key":"28_CR11","unstructured":"Minaee, S., et al.: Large language models: A survey. arXiv preprint arXiv:2402.06196 (2024)"},{"key":"28_CR12","doi-asserted-by":"crossref","unstructured":"Nakov, P., et al.: Automated fact-checking for assisting human fact-checkers. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, pp. 4551\u20134558. International Joint Conferences on Artificial Intelligence Organization (2021)","DOI":"10.24963\/ijcai.2021\/619"},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"Pan, L., Lu, X., Kan, M.Y., Nakov, P.: QACheck: a demonstration system for question-guided multi-hop fact-checking. In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 264\u2013273 (2023)","DOI":"10.18653\/v1\/2023.emnlp-demo.23"},{"key":"28_CR14","doi-asserted-by":"crossref","unstructured":"Pan, L., et al.: Fact-checking complex claims with program-guided reasoning. In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics vol. 1 Long Papers, pp. 6981\u20137004 (2023)","DOI":"10.18653\/v1\/2023.acl-long.386"},{"key":"28_CR15","unstructured":"Touvron, H., et\u00a0al.: Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)"},{"key":"28_CR16","first-page":"24824","volume":"35","author":"J Wei","year":"2022","unstructured":"Wei, J., et al.: Chain-of-thought prompting elicits reasoning in large language models. Adv. Neural. Inf. Process. Syst. 35, 24824\u201324837 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."}],"container-title":["Lecture Notes in Computer Science","PRICAI 2024: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0119-6_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,23]],"date-time":"2025-01-23T12:35:33Z","timestamp":1737635733000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0119-6_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,12]]},"ISBN":["9789819601189","9789819601196"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0119-6_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,12]]},"assertion":[{"value":"12 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kyoto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}