NetLLM: Adapting Large Language Models for Networking
Author:
Affiliation:
1. The Chinese University of Hong Kong, Shenzhen, Shenzhen, China
2. Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
3. University of Chicago, Chicago, United States of America
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3651890.3672268
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4. Armen Aghajanyan, Luke Zettlemoyer, and Sonal Gupta. 2020. Intrinsic dimensionality explains the effectiveness of language model fine-tuning. arXiv preprint arXiv:2012.13255 (2020).
5. J Alammar. 2021. Ecco: An open source library for the explainability of transformer language models. In Proceedings of the 59th Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations. 249--257.
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