{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T10:10:52Z","timestamp":1778235052685,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T00:00:00Z","timestamp":1768953600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,1,21]]},"DOI":"10.1145\/3796315.3796355","type":"proceedings-article","created":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T09:25:41Z","timestamp":1778232341000},"page":"293-298","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["ComNetLLM: Empowering LLMs for Reliable Communication Network Planning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6678-5308","authenticated-orcid":false,"given":"Yang","family":"Zhang","sequence":"first","affiliation":[{"name":"Sichuan University of Arts and Science, Dazhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5462-4771","authenticated-orcid":false,"given":"Qinyu","family":"Shi","sequence":"additional","affiliation":[{"name":"Sichuan University of Arts and Science, Dazhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5522-7584","authenticated-orcid":false,"given":"Zhouguan","family":"Li","sequence":"additional","affiliation":[{"name":"Sichuan University of Arts and Science, Dazhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8876-9457","authenticated-orcid":false,"given":"Hongming","family":"Peng","sequence":"additional","affiliation":[{"name":"Sichuan University of Arts and Science, Dazhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,5,8]]},"reference":[{"key":"e_1_3_3_1_2_2","unstructured":"AI Anthropic. 2024. The Claude 3 Model Family: Opus Sonnet Haiku. Claude-3 Model Card."},{"key":"e_1_3_3_1_3_2","unstructured":"Gordon\u00a0Owusu Boateng Hani Sami Ahmed Alagha Hanae Elmekki Ahmad Hammoud Rabeb Mizouni Azzam Mourad Hadi Otrok Jamal Bentahar Sami Muhaidat Chamseddine Talhi Zbigniew Dziong and Mohsen Guizani. 2024. A Survey on Large Language Models for Communication Network and Service Management: Application Insights Challenges and Future Directions. CoRR abs\/2412.19823 (2024)."},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3672010"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"Edsger\u00a0W. Dijkstra. 1959. A Note on Two Problems in Connexion with Graphs. Numer. Math. 1 (1959) 269\u2013271.","DOI":"10.1007\/BF01386390"},{"key":"e_1_3_3_1_6_2","volume-title":"International Conference on Learning Representations (ICLR)","author":"Fatemi Bahare","year":"2024","unstructured":"Bahare Fatemi, Jonathan Halcrow, and Bryan Perozzi. 2024. Talk like a Graph: Encoding Graphs for Large Language Models. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_3_1_7_2","unstructured":"Team GLM. 2024. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. CoRR abs\/2406.12793 (2024)."},{"key":"e_1_3_3_1_8_2","volume-title":"International Conference on Learning Representations (ICLR)","author":"Hu Edward\u00a0J.","year":"2022","unstructured":"Edward\u00a0J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022. LoRA: Low-Rank Adaptation of Large Language Models. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Aris Leivadeas and Matthias Falkner. 2023. A Survey on Intent-Based Networking. IEEE Communications Surveys & Tutorials 25 1 (2023) 625\u2013655.","DOI":"10.1109\/COMST.2022.3215919"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Fan Liu Behrooz Farkiani and Patrick Crowley. 2025. Large Language Models for Computer Networking Operations and Management: A Survey on Applications Key Techniques and Opportunities. Computer Networks 271 (2025) 111614.","DOI":"10.1016\/j.comnet.2025.111614"},{"key":"e_1_3_3_1_11_2","unstructured":"Zihan Luo Xiran Song Hong Huang Jianxun Lian Chenhao Zhang Jinqi Jiang and Xing Xie. 2024. GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability. CoRR abs\/2403.04483 (2024)."},{"key":"e_1_3_3_1_12_2","unstructured":"OpenAI. 2023. GPT-4 Technical Report. CoRR abs\/2303.08774 (2023)."},{"key":"e_1_3_3_1_13_2","series-title":"(NeurIPS)","volume-title":"Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, New Orleans, LA, USA, November 28 - December 9, 2022","author":"Ouyang Long","year":"2022","unstructured":"Long Ouyang, Jeffrey Wu, Xu Jiang, and Diogo Almeida. 2022. Training Language Models to Follow Instructions with Human Feedback. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, New Orleans, LA, USA, November 28 - December 9, 2022(NeurIPS)."},{"key":"e_1_3_3_1_14_2","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","author":"Patil Shishir\u00a0G.","year":"2024","unstructured":"Shishir\u00a0G. Patil, Tianjun Zhang, Xin Wang, and Joseph\u00a0E. Gonzalez. 2024. Gorilla: Large Language Model Connected with Massive APIs. In Advances in Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_3_1_15_2","volume-title":"International Conference on Learning Representations (ICLR)","author":"Qin Yujia","year":"2024","unstructured":"Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, and Maosong Sun. 2024. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-World APIs. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_3_1_16_2","series-title":"(NeurIPS)","volume-title":"Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, New Orleans, LA, USA, December 10 - 16, 2023","author":"Schick Timo","year":"2023","unstructured":"Timo Schick, Jane Dwivedi-Yu, Roberto Dess\u00ec, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2023. Toolformer: Language Models Can Teach Themselves to Use Tools. In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, New Orleans, LA, USA, December 10 - 16, 2023(NeurIPS)."},{"key":"e_1_3_3_1_17_2","unstructured":"Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux Timoth\u00e9e Lacroix Baptiste Rozi\u00e8re Naman Goyal Eric Hambro Faisal Azhar Aur\u00e9lien Rodriguez Armand Joulin Edouard Grave and Guillaume Lample. 2023. LLaMA: Open and Efficient Foundation Language Models. CoRR abs\/2302.13971 (2023)."},{"key":"e_1_3_3_1_18_2","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","author":"Wang Heng","year":"2023","unstructured":"Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, and Yulia Tsvetkov. 2023. Can Language Models Solve Graph Problems in Natural Language?. In Advances in Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_3_1_19_2","volume-title":"Advances in Neural Information Processing Systems (NeurIPS)","author":"Wei J.","year":"2022","unstructured":"J. Wei et\u00a0al. 2022. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems (NeurIPS) , Vol.\u00a035."},{"key":"e_1_3_3_1_20_2","unstructured":"Jiawei Zhang. 2023. Graph-ToolFormer: To Empower Large Language Models with Graph Reasoning Ability via Prompt Augmented by ChatGPT. CoRR abs\/2304.11116 (2023)."}],"event":{"name":"ICSIM 2026: 2026 The 9th International Conference on Software Engineering and Information Management","location":"Yokohama Japan","acronym":"ICSIM 2026"},"container-title":["Proceedings of the 2026 9th International Conference on Software Engineering and Information Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3796315.3796355","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T09:26:32Z","timestamp":1778232392000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3796315.3796355"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,21]]},"references-count":19,"alternative-id":["10.1145\/3796315.3796355","10.1145\/3796315"],"URL":"https:\/\/doi.org\/10.1145\/3796315.3796355","relation":{},"subject":[],"published":{"date-parts":[[2026,1,21]]},"assertion":[{"value":"2026-05-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}