{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,14]],"date-time":"2025-06-14T04:03:39Z","timestamp":1749873819122,"version":"3.41.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031949302","type":"print"},{"value":"9783031949319","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\/978-3-031-94931-9_19","type":"book-chapter","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T05:44:20Z","timestamp":1749793460000},"page":"237-248","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging LLMs to\u00a0Discover Causal Dependencies: A\u00a0Case Study on\u00a0a\u00a0University Program"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8143-7615","authenticated-orcid":false,"given":"Claudia","family":"Diamantini","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6589-5347","authenticated-orcid":false,"given":"Chiara","family":"Gobbi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7852-0528","authenticated-orcid":false,"given":"Alessandro","family":"Mele","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7067-5463","authenticated-orcid":false,"given":"Domenico","family":"Potena","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5243-4249","authenticated-orcid":false,"given":"Cristina","family":"Rossetti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,14]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Ban, T., Chen, L., Lyu, D., Wang, X., Zhu, Q., Chen, H.: Llm-driven causal discovery via harmonized prior. IEEE Trans. Knowl. Data Eng. (2025)","DOI":"10.1109\/TKDE.2025.3528461"},{"key":"19_CR2","unstructured":"Ban, T., Chen, L., Wang, X., Chen, H.: From query tools to causal architects: harnessing large language models for advanced causal discovery from data. arXiv preprint arXiv:2306.16902 (2023)"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Berti, A., Kourani, H., van\u00a0der Aalst, W.M.: PM-LLM-benchmark: Evaluating large language models on process mining tasks. arXiv preprint arXiv:2407.13244 (2024)","DOI":"10.1007\/978-3-031-82225-4_45"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Berti, A., Kourani, H., H\u00e4fke, H., Li, C.Y., Schuster, D.: Evaluating large language models in process mining: capabilities, benchmarks, and evaluation strategies. In: International Conference on Business Process Modeling, Development and Support, pp. 13\u201321. Springer (2024)","DOI":"10.1007\/978-3-031-61007-3_2"},{"key":"19_CR5","unstructured":"Berti, A., Qafari, M.S.: Leveraging large language models (LLMS) for process mining (technical report). arXiv preprint arXiv:2307.12701 (2023)"},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Berti, A., Schuster, D., van\u00a0der Aalst, W.M.: Abstractions, scenarios, and prompt definitions for process mining with LLMS: a case study. In: International Conference on Business Process Management, pp. 427\u2013439. Springer (2023)","DOI":"10.1007\/978-3-031-50974-2_32"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Buss, A., Kratsch, W., Schmid, S.J., Wang, H.: Processllm: a large language model specialized in the interpretation, analysis, and optimization of business processes. In: International Conference on Business Process Management, pp. 221\u2013232. Springer (2024)","DOI":"10.1007\/978-3-031-78666-2_17"},{"key":"19_CR8","unstructured":"Chen, L., Ban, T., Wang, X., Lyu, D., Chen, H.: Mitigating prior errors in causal structure learning: Towards LLM driven prior knowledge. arXiv preprint arXiv:2306.07032 (2023)"},{"key":"19_CR9","unstructured":"Feng, T., Qu, L., Tandon, N., Li, Z., Kang, X., Haffari, G.: From pre-training corpora to large language models: What factors influence LLM performance in causal discovery tasks? arXiv preprint arXiv:2407.19638 (2024)"},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"Hadi, M.U., et\u00a0al.: A survey on large language models: applications, challenges, limitations, and practical usage. Authorea Preprints 3 (2023)","DOI":"10.36227\/techrxiv.23589741.v1"},{"key":"19_CR11","unstructured":"Kampani, S., Hidary, D., van\u00a0der Poel, C., Ganahl, M., Miao, B.: LLM-initialized differentiable causal discovery. arXiv preprint arXiv:2410.21141 (2024)"},{"key":"19_CR12","unstructured":"Khatibi, E., Abbasian, M., Yang, Z., Azimi, I., Rahmani, A.M.: ALCM: autonomous LLM-augmented causal discovery framework. arXiv preprint arXiv:2405.01744 (2024)"},{"key":"19_CR13","unstructured":"Kiciman, E., Ness, R., Sharma, A., Tan, C.: Causal reasoning and large language models: opening a new frontier for causality. Trans. Mach. Learn. Res. (2023)"},{"key":"19_CR14","unstructured":"Long, S., Schuster, T., Pich\u00e9, A.: Can large language models build causal graphs? arXiv preprint arXiv:2303.05279 (2023)"},{"key":"19_CR15","unstructured":"Redis, A.C., Sani, M.F., Zarrin, B., Burattin, A.: Processtbench: an LLM plan generation dataset for process mining. arXiv preprint arXiv:2409.09191 (2024)"},{"key":"19_CR16","unstructured":"Vashishtha, A., Reddy, A.G., Kumar, A., Bachu, S., Balasubramanian, V.N., Sharma, A.: Causal inference using LLM-guided discovery. arXiv preprint arXiv:2310.15117 (2023)"},{"key":"19_CR17","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"19_CR18","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."},{"key":"19_CR19","unstructured":"Zhao, W.X., et\u00a0al.: A survey of large language models. arXiv preprint arXiv:2303.18223 1(2) (2023)"},{"key":"19_CR20","unstructured":"Zheng, H.S., et al.: Take a step back: evoking reasoning via abstraction in large language models. arXiv preprint arXiv:2310.06117 (2023)"}],"container-title":["Lecture Notes in Business Information Processing","Advanced Information Systems Engineering Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-94931-9_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T05:44:29Z","timestamp":1749793469000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-94931-9_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031949302","9783031949319"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-94931-9_19","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"value":"1865-1348","type":"print"},{"value":"1865-1356","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"14 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CAiSE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vienna","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Austria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"37","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caise2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.big.tuwien.ac.at\/caise2025\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}