{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T14:56:08Z","timestamp":1743087368405,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":32,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819609079"},{"type":"electronic","value":"9789819609086"}],"license":[{"start":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T00:00:00Z","timestamp":1733529600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T00:00:00Z","timestamp":1733529600000},"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\/978-981-96-0908-6_12","type":"book-chapter","created":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T19:26:45Z","timestamp":1733513205000},"page":"204-219","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fine-Tuning Large Language Models for\u00a0Automatic Font Skeleton Generation: Exploration and\u00a0Analysis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-8775-6598","authenticated-orcid":false,"given":"Yuxuan","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7503-5961","authenticated-orcid":false,"given":"Yasuhisa","family":"Fujii","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5495-9335","authenticated-orcid":false,"given":"Xinru","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9611-4234","authenticated-orcid":false,"given":"Kayoko","family":"Nohara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,7]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Alexandr, N., Irina, O., Tatyana, K., Inessa, K., Arina, P.: Fine-tuning gpt-3 for russian text summarization. In: Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2. pp. 748\u2013757. Springer (2021)","key":"12_CR1","DOI":"10.1007\/978-3-030-90321-3_61"},{"doi-asserted-by":"crossref","unstructured":"Aoki, H., Aizawa, K.: Svg vector font generation for chinese characters with transformer. In: 2022 IEEE International Conference on Image Processing (ICIP). pp. 646\u2013650. IEEE (2022)","key":"12_CR2","DOI":"10.1109\/ICIP46576.2022.9897633"},{"unstructured":"Apel, U., Quint, J.: Data on the construction of kanji and various approaches for their usage","key":"12_CR3"},{"doi-asserted-by":"crossref","unstructured":"Apel, U., Quint, J.: Building a graphetic dictionary for japanese kanji-character look-up based on brush strokes or stroke groups, and the display of kanji as path data. In: Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries. pp. 36\u201339 (2004)","key":"12_CR4","DOI":"10.3115\/1610042.1610050"},{"unstructured":"Beier, S., Bernard, J.B., Castet, E.: Numeral legibility and visual complexity. In: DRS Design Research Society, 2018: Limerick (2018)","key":"12_CR5"},{"issue":"3","key":"12_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3505246","volume":"41","author":"D Berio","year":"2022","unstructured":"Berio, D., Leymarie, F.F., Asente, P., Echevarria, J.: Strokestyles: Stroke-based segmentation and stylization of fonts. ACM Transactions on Graphics (TOG) 41(3), 1\u201321 (2022)","journal-title":"ACM Transactions on Graphics (TOG)"},{"doi-asserted-by":"crossref","unstructured":"Bessmeltsev, M., Solomon, J.: Vectorization of line drawings via polyvector fields (2018)","key":"12_CR7","DOI":"10.1145\/3202661"},{"unstructured":"Brown, T.B., Mann, B., Ryder, N., et\u00a0al.: Language models are few-shot learners (2020)","key":"12_CR8"},{"unstructured":"Chen, M., Tworek, J., Jun, H., et\u00a0al.: Evaluating large language models trained on code (2021)","key":"12_CR9"},{"doi-asserted-by":"crossref","unstructured":"Cox, C., Coueignoux, P., Blesser, B., Eden, M.: Skeletons: A link between theoretical and physical letter descriptions. Pattern Recogn. 15(1), 11\u201322 (1982)","key":"12_CR10","DOI":"10.1016\/0031-3203(82)90056-5"},{"unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. CoRR abs\/1810.04805 (2018), http:\/\/arxiv.org\/abs\/1810.04805","key":"12_CR11"},{"doi-asserted-by":"crossref","unstructured":"Garg, S., Ramakrishnan, G.: Bae: Bert-based adversarial examples for text classification. arXiv:2004.01970 (2020)","key":"12_CR12","DOI":"10.18653\/v1\/2020.emnlp-main.498"},{"doi-asserted-by":"publisher","unstructured":"Herz, J., Hersch, R.D., Gonczarowski, J.: Coherent processing of character skeletal forms. Computers & Graphics 21(6), 727\u2013736 (1997).https:\/\/doi.org\/10.1016\/S0097-8493(97)00050-2, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0097849397000502, graphics in Electronic Printing and Publishing","key":"12_CR13","DOI":"10.1016\/S0097-8493(97)00050-2"},{"doi-asserted-by":"publisher","unstructured":"Jakubiak, E.J., Perry, R.N., Frisken, S.F.: An improved representation for stroke-based fonts. In: ACM SIGGRAPH 2006 Sketches. p. 137-es. SIGGRAPH \u201906, Association for Computing Machinery, New York, NY, USA (2006).https:\/\/doi.org\/10.1145\/1179849.1180020, https:\/\/doi.org\/10.1145\/1179849.1180020","key":"12_CR14","DOI":"10.1145\/1179849.1180020"},{"unstructured":"Jia, Y., Zhang, Y., Weiss, R., Wang, Q., et\u00a0al.: Transfer learning from speaker verification to multispeaker text-to-speech synthesis. Advances in neural information processing systems 31 (2018)","key":"12_CR15"},{"doi-asserted-by":"crossref","unstructured":"Karow, P.: Digital typefaces: description and formats. Springer Science & Business Media (1994)","key":"12_CR16","DOI":"10.1007\/978-3-642-78105-6"},{"key":"12_CR17","volume-title":"The METAFONT book","author":"DE Knuth","year":"1989","unstructured":"Knuth, D.E.: The METAFONT book. Addison-Wesley Longman Publishing Co., Inc (1989)"},{"unstructured":"Lupton, E.: Thinking with type: A critical guide for designers, writers, editors, & students. Chronicle Books (2014)","key":"12_CR18"},{"unstructured":"Mathey, Y., et\u00a0al.: Prototypo. https:\/\/mathey.notion.site\/Prototypo-22a55139f0324a7eb82a67bbceaa3a58 (2014)","key":"12_CR19"},{"unstructured":"OpenAI: Fine-tuning. https:\/\/platform.openai.com\/docs\/guides\/fine-tuning (2020)","key":"12_CR20"},{"key":"12_CR21","first-page":"27730","volume":"35","author":"L Ouyang","year":"2022","unstructured":"Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al.: Training language models to follow instructions with human feedback. Adv. Neural. Inf. Process. Syst. 35, 27730\u201327744 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"12_CR22","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., et al.: Scikit-learn: Machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"doi-asserted-by":"crossref","unstructured":"Qu, C., Yang, L., Qiu, M., Croft, W.B., Zhang, Y., Iyyer, M.: Bert with history answer embedding for conversational question answering. In: Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval. pp. 1133\u20131136 (2019)","key":"12_CR23","DOI":"10.1145\/3331184.3331341"},{"doi-asserted-by":"crossref","unstructured":"Quint, J., Apel, U.: Does learning how to read japanese have to be so difficult: and can the web help? In: Special interest tracks and posters of the 14th international conference on World Wide Web. pp. 1152\u20131153 (2005)","key":"12_CR24","DOI":"10.1145\/1062745.1062914"},{"unstructured":"Radford, A., Narasimhan, K., Salimans, T., Sutskever, I., et\u00a0al.: Improving language understanding by generative pre-training (2018)","key":"12_CR25"},{"issue":"8","key":"12_CR26","first-page":"9","volume":"1","author":"A Radford","year":"2019","unstructured":"Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al.: Language models are unsupervised multitask learners. OpenAI blog 1(8), 9 (2019)","journal-title":"OpenAI blog"},{"key":"12_CR27","first-page":"467","volume":"1391","author":"AK Reyes","year":"2015","unstructured":"Reyes, A.K., Caicedo, J.C., Camargo, J.E.: Fine-tuning deep convolutional networks for plant recognition. CLEF (Working Notes) 1391, 467\u2013475 (2015)","journal-title":"CLEF (Working Notes)"},{"unstructured":"Samara, T.: Letterforms: Typeface Design from Past to Future. Rockport Publishers (2018)","key":"12_CR28"},{"unstructured":"Scheichelbauer, R.E.: Lttr\/ink 1.0 released. https:\/\/glyphsapp.com\/news\/lttr-ink-1-0-released (2021)","key":"12_CR29"},{"unstructured":"Souza, F., Nogueira, R., Lotufo, R.: Portuguese named entity recognition using bert-crf. arXiv:1909.10649 (2019)","key":"12_CR30"},{"unstructured":"Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.A., Lacroix, T., Rozi\u00e8re, B., Goyal, N., Hambro, E., Azhar, F., Rodriguez, A., Joulin, A., Grave, E., Lample, G.: Llama: Open and efficient foundation language models (2023)","key":"12_CR31"},{"doi-asserted-by":"crossref","unstructured":"Zong, M., Krishnamachari, B.: Solving math word problems concerning systems of equations with gpt-3. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol.\u00a037, pp. 15972\u201315979 (2023)","key":"12_CR32","DOI":"10.1609\/aaai.v37i13.26896"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0908-6_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T20:09:57Z","timestamp":1733515797000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0908-6_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,7]]},"ISBN":["9789819609079","9789819609086"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0908-6_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,7]]},"assertion":[{"value":"7 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","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 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"accv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}