{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T18:55:43Z","timestamp":1757616943079,"version":"3.44.0"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031703706"},{"type":"electronic","value":"9783031703713"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-70371-3_33","type":"book-chapter","created":{"date-parts":[[2024,8,31]],"date-time":"2024-08-31T23:31:13Z","timestamp":1725147073000},"page":"424-428","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["LLaMA-Annotate\u2014Visualizing Token-Level Confidences for\u00a0LLMs"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1685-8397","authenticated-orcid":false,"given":"Erik","family":"Schultheis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4540-395X","authenticated-orcid":false,"given":"S. T.","family":"John","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,22]]},"reference":[{"key":"33_CR1","unstructured":"Brown, T., et al.: Language models are few-shot learners. In: Advances in Neural Information Processing Systems, vol.\u00a033, pp. 1877\u20131901 (2020)"},{"key":"33_CR2","unstructured":"Lin, B.Y., et al.: The unlocking spell on base LLMs: rethinking alignment via in-context learning. ArXiv preprint (2023)"},{"key":"33_CR3","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1162\/tacl_a_00536","volume":"11","author":"C Meister","year":"2023","unstructured":"Meister, C., Pimentel, T., Wiher, G., Cotterell, R.: Locally typical sampling. Trans. Assoc. Comput. Linguist. 11, 102\u2013121 (2023)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"Sarti, G., Feldhus, N., Sickert, L., van\u00a0der Wal, O., Nissim, M., Bisazza, A.: Inseq: an interpretability toolkit for sequence generation models. In: 61st Annual Meeting of the Association for Computational Linguistics, pp. 421\u2013435 (2023)","DOI":"10.18653\/v1\/2023.acl-demo.40"},{"key":"33_CR5","unstructured":"Touvron, H., et al.: LLaMA 2: open foundation and fine-tuned chat models (2023). arXiv:2307.09288"},{"key":"33_CR6","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, vol.\u00a030 (2017)"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Vig, J.: A multiscale visualization of attention in the transformer model. In: 57th Annual Meeting of the Association for Computational Linguistics, pp. 37\u201342 (2019)","DOI":"10.18653\/v1\/P19-3007"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Yun, Z., Chen, Y., Olshausen, B.A., LeCun, Y.: Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. In: Deep Learning Inside Out (DeeLIO) NAACL: The Second Workshop on Knowledge Extraction and Integration for Deep Learning Architectures (2021)","DOI":"10.18653\/v1\/2021.deelio-1.1"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70371-3_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T21:10:00Z","timestamp":1757106600000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70371-3_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031703706","9783031703713"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70371-3_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"22 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vilnius","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","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":"8 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2024.ecmlpkdd.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}