{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T15:07:21Z","timestamp":1786979241335,"version":"3.56.0"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819611508","type":"print"},{"value":"9789819611515","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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\/978-981-96-1151-5_32","type":"book-chapter","created":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T10:59:59Z","timestamp":1738839599000},"page":"312-322","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Complex Instruction Translation Using Fine-Tuned Large Language Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4330-8745","authenticated-orcid":false,"given":"Minhazul","family":"Arefin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6394-1500","authenticated-orcid":false,"given":"Dang","family":"Tran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2810-865X","authenticated-orcid":false,"given":"Hongsheng","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,7]]},"reference":[{"key":"32_CR1","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/978-3-030-90525-5_29","volume-title":"Social Robotics","author":"D Tran","year":"2021","unstructured":"Tran, D., Yan, F., Yihun, Y., Tan, J., He, H.: A framework of controlled robot language for reliable human-robot collaboration. In: Li, H., et al. (eds.) ICSR 2021. LNCS (LNAI), vol. 13086, pp. 339\u2013349. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-90525-5_29"},{"key":"32_CR2","unstructured":"Fuchs, N.E., Schwitter, R.: Attempto controlled English (ACE). arXiv preprint cmp-lg\/9603003 (1996)"},{"key":"32_CR3","doi-asserted-by":"crossref","unstructured":"Bisk, Y., Yuret, D., Marcu, D.: Natural language communication with robots. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 751\u2013761 (2016)","DOI":"10.18653\/v1\/N16-1089"},{"key":"32_CR4","unstructured":"Gruppi, M., et al.: On the effects of fine-tuning language models for text-based reinforcement learning. arXiv preprint arXiv:2404.10174 (2024)"},{"key":"32_CR5","doi-asserted-by":"crossref","unstructured":"Murugesan, K., et al.: Text-based RL agents with commonsense knowledge: new challenges, environments and baselines (2021a)","DOI":"10.1609\/aaai.v35i10.17090"},{"key":"32_CR6","unstructured":"Ziegler, D.M., et al.: Fine-tuning language models from human preferences. arXiv preprint arXiv:1909.08593 (2019)"},{"key":"32_CR7","doi-asserted-by":"publisher","unstructured":"Su\u00e1rez Bonilla, F., Ruiz Ugalde, F.: Automatic translation of Spanish natural language commands to control robot comands based on LSTM neural network. In: 2019 Third IEEE International Conference on Robotic Computing (IRC), Naples, Italy, pp. 125\u2013131 (2019). https:\/\/doi.org\/10.1109\/IRC.2019.00026","DOI":"10.1109\/IRC.2019.00026"},{"key":"32_CR8","doi-asserted-by":"crossref","unstructured":"Matuszek, C.: Learning to parse natural language commands to a robot control system. Int. Symp. Exp. Robot. (ISER) (2012)","DOI":"10.1007\/978-3-319-00065-7_28"},{"key":"32_CR9","doi-asserted-by":"crossref","unstructured":"Matuszek, C., et al.: Learning to parse natural language commands to a robot control system. In: Experimental robotics: the 13th International Symposium on Experimental Robotics. Springer International Publishing (2013)","DOI":"10.1007\/978-3-319-00065-7_28"},{"key":"32_CR10","unstructured":"Ingrand, F., Chatila, R., Alami, R., Robert, F.: PRS: a high level supervision and control language for autonomous mobile robots. In Proceedings of the IEEE International Conference on Robotics & Automation (ICRA) (1996)"},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Beetz, M., et al.: Integrated plan-based control of autonomous service robots in human environments. IEEE Intell. Syst. 16(5) (2001)","DOI":"10.1109\/5254.956082"},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"H\u00e4hnel, D., Burgard, W., Lakemeyer, G.: GOLEX - bridging the gap between logic (GOLOG) and a real robot. In Proceedings of the German Conference on Artificial Intelligence (KI), Germany (1998)","DOI":"10.1007\/BFb0095437"},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Steedman, M., Baldridge, J.: Combinatory categorial grammar, pp. 181\u2013224. Formal and Explicit Models of Grammar, Non-Transformational Syntax (2011)","DOI":"10.1002\/9781444395037.ch5"},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Raheja, V., Alikaniotis, aD.: Adversarial grammatical error correction. arXiv preprint arXiv:2010.02407 (2020)","DOI":"10.18653\/v1\/2020.findings-emnlp.275"},{"key":"32_CR15","unstructured":"Zhang, T., Kishore, V., Wu, F., Weinberger, K.Q., Artzi, Y.: Bertscore: evaluating text generation with bert. arXiv preprint arXiv:1904.09675 (2019)"},{"key":"32_CR16","doi-asserted-by":"publisher","unstructured":"Li, H., Tan, J., He, H.: MagicHand: context-aware dexterous grasping using an anthropomorphic robotic hand. IN: 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, pp. 9895\u20139901 (2020). https:\/\/doi.org\/10.1109\/ICRA40945.2020.9196538","DOI":"10.1109\/ICRA40945.2020.9196538"},{"key":"32_CR17","doi-asserted-by":"publisher","unstructured":"Tran, D., Li, H., He, H.: AI planning from natural-language instructions for trustworthy human-robot communication. In: Ali, A.A., et al. Social Robotics. ICSR 2023. Lecture Notes in Computer Science, vol. 14454. Springer, Singapore (2024). https:\/\/doi.org\/10.1007\/978-981-99-8718-4_22","DOI":"10.1007\/978-981-99-8718-4_22"}],"container-title":["Lecture Notes in Computer Science","Social Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-1151-5_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T11:00:13Z","timestamp":1738839613000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-1151-5_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819611508","9789819611515"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-1151-5_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"7 February 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSR + InnoBiz","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Social Robotics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"26 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"socrob2024b","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.asianlp.sg\/conferences\/icsr2024\/web\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}