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Code llama: Open foundation models for code. arXiv preprint arXiv:2308.12950 (2023)."},{"key":"e_1_3_2_1_54_1","volume-title":"Glu variants improve transformer. arXiv preprint arXiv:2002.05202","author":"Shazeer Noam","year":"2020","unstructured":"Noam Shazeer. 2020. Glu variants improve transformer. arXiv preprint arXiv:2002.05202 (2020)."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3643832.3661880"},{"key":"e_1_3_2_1_56_1","volume-title":"Proceedings of the 31st Annual International Conference on Mobile Computing and Networking.","author":"Shen Leming","year":"2025","unstructured":"Leming Shen, Qiang Yang, Yuanqing Zheng, and Mo Li. 2025. AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications. 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