FastRAG: Retrieval Augmented Generation for Semi-structured Data

J. Zhu, S. He, P. He, J. Liu, and M. R. Lyu, “Loghub: A large collection of system log datasets for ai-driven log analytics,” 2023. [Online]. Available: https://arxiv.org/abs/2008.06448

Original

2008

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P. Kazemian, M. Chang, H. Zeng, G. Varghese, N. McKeown, and S. Whyte, “Real time network policy checking using header space analysis,” in 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI 13) . Lombard, IL: USENIX Association, Apr. 2013, pp. 99–111. [Online]. Available: https://www.usenix.org/conference/nsdi13/technical-sessions/presentation/kazemian

2013

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M. Du, F. Li, G. Zheng, and V. Srikumar, “Deeplog: Anomaly detection and diagnosis from system logs through deep learning,” in Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security , ser. CCS ’17. New York, NY, USA: Association for Computing Machinery, 2017, p. 1285–1298. [Online]. Available: https://doi.org/10.1145/3133956.3134015

2017

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R. Birkner, D. Drachsler-Cohen, L. Vanbever, and M. Vechev, “Config2Spec: Mining network specifications from network configurations,” in 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20) . Santa Clara, CA: USENIX Association, Feb. 2020, pp. 969–984. [Online]. Available: https://www.usenix.org/conference/nsdi20/presentation/birkner

2020

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P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, S. Riedel, and D. Kiela, “Retrieval-augmented generation for knowledge-intensive nlp tasks,” in Proceedings of the 34th International Conference on Neural Information Processing Systems , ser. NIPS ’20. Red Hook, NY, USA: Curran Associates Inc., 2020

2020

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Z. Peng, G.-J. Aaron, Z. Yueshang, Y. Huang, L. Xu, and L. Hao, “Differential network analysis,” in 19th USENIX Symposium on Networked Systems Design and Implementation , 2022, pp. 601–615

2022

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M. Brown, A. Fogel, D. Halperin, V. Heorhiadi, R. Mahajan, and T. Millstein, “Lessons from the evolution of the batfish configuration analysis tool,” in Proceedings of the ACM SIGCOMM 2023 Conference , ser. ACM SIGCOMM ’23. New York, NY, USA: Association for Computing Machinery, 2023, p. 122–135. [Online]. Available: https://doi.org/10.1145/3603269.3604866

2023

Earlier work this paper cites.

Y. Huo, Y. Su, C. Lee, and M. R. Lyu, “Semparser: A semantic parser for log analysis,” 2023. [Online]. Available: https://arxiv.org/abs/2112.12636

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2023

Earlier work this paper cites.

R. Mondal, A. Tang, R. Beckett, T. Millstein, and G. Varghese, “What do llms need to synthesize correct router configurations?” in Proceedings of the 22nd ACM Workshop on Hot Topics in Networks , ser. HotNets ’23. New York, NY, USA: Association for Computing Machinery, 2023, p. 189–195. [Online]. Available: https://doi.org/10.1145/3626111.3628194

2023

Cited alongside, same era.

C. Wang, M. Scazzariello, A. Farshin, D. Kostic, and M. Chiesa, “Making network configuration human friendly,” 2023. [Online]. Available: https://arxiv.org/abs/2309.06342

Original

2023

Cited alongside, same era.

V.-H. Le and H. Zhang, “Log parsing with prompt-based few-shot learning,” 2023. [Online]. Available: https://arxiv.org/abs/2302.07435

Original

2023

Cited alongside, same era.

J. Pan, S. L. Wong, and Y. Yuan, “Raglog: Log anomaly detection using retrieval augmented generation,” 2023. [Online]. Available: https://arxiv.org/abs/2311.05261

Original

2023

E.-D. Jeong, H.-G. Kim, S. Nam, J.-H. Yoo, and J. W.-K. Hong, “S-witch: Switch configuration assistant with llm and prompt engineering,” in NOMS 2024-2024 IEEE Network Operations and Management Symposium , 2024, pp. 1–7

2024

Closest in time.

D. Donadel, F. Marchiori, L. Pajola, and M. Conti, “Can llms understand computer networks? towards a virtual system administrator,” 2024. [Online]. Available: https://arxiv.org/abs/2404.12689

Original

2024

Closest in time.

B. Ifland, E. Duani, R. Krief, M. Ohana, A. Zilberman, A. Murillo, O. Manor, O. Lavi, H. Kenji, A. Shabtai, Y. Elovici, and R. Puzis, “Genet: A multimodal llm-based co-pilot for network topology and configuration,” 2024. [Online]. Available: https://arxiv.org/abs/2407.08249

Original

2024

Closest in time.

A.-L. Bornea, F. Ayed, A. D. Domenico, N. Piovesan, and A. Maatouk, “Telco-rag: Navigating the challenges of retrieval-augmented language models for telecommunications,” 2024. [Online]. Available: https://arxiv.org/abs/2404.15939

Original

2024