Fetching the paper…
Reading the bibliography…
Analyzing network topologies and communication graphs plays a crucial role in contemporary network management.
The FORTRAN automatic coding system
J. W. Backus, R. J. Beeber, S. Best, R. Goldberg, L. M. Haibt, H. L. Herrick, R. A. Nelson, D. Sayre, P. B. Sheridan, H. Stern, I. Ziller, R. A. Hughes, and R. Nutt · 1957
Earlier work this paper cites.
Toward automatic program synthesis
Z. Manna and R. J. Waldinger · 1971
Earlier work this paper cites.
A Guide to the SQL Standard
C. J. Date · 1989
Earlier work this paper cites.
Shrink: a tool for failure diagnosis in IP networks
S. Kandula, D. Katabi, and J. Vasseur · 2005
Earlier work this paper cites.
Network monitoring using traffic dispersion graphs (TDGs)
M. Iliofotou, P. Pappu, M. Faloutsos, M. Mitzenmacher, S. Singh, and G. Varghese · 2007
Earlier work this paper cites.
Automating string processing in spreadsheets using input-output examples
S. Gulwani · 2011
Earlier work this paper cites.
Traffic dispersion graph based anomaly detection
D. Q. Le, T. Jeong, H. E. Roman, and J. W. Hong · 2011
Earlier work this paper cites.
Visualizing big network traffic data using frequent pattern mining and hypergraphs
E. Glatz, S. Mavromatidis, B. Ager, and X. A. Dimitropoulos · 2014
Earlier work this paper cites.
Network monitoring: Present and future
S. Lee, K. Levanti, and H. S. Kim · 2014
Earlier work this paper cites.
Constructing an interactive natural language interface for relational databases
F. Li and H. V. Jagadish · 2014
Earlier work this paper cites.
A general approach to network configuration analysis
A. Fogel, S. Fung, L. Pedrosa, M. Walraed-Sullivan, R. Govindan, R. Mahajan, and T. D. Millstein · 2015
Earlier work this paper cites.
DeepCoder: Learning to write programs
M. Balog, A. L. Gaunt, M. Brockschmidt, S. Nowozin, and D. Tarlow · 2017
Earlier work this paper cites.
A general approach to network configuration verification
R. Beckett, A. Gupta, R. Mahajan, and D. Walker · 2017
Earlier work this paper cites.
Program synthesis
S. Gulwani, O. Polozov, and R. Singh · 2017
Earlier work this paper cites.
Learning a neural semantic parser from user feedback
S. Iyer, I. Konstas, A. Cheung, J. Krishnamurthy, and L. Zettlemoyer · 2017
Earlier work this paper cites.
Passive realtime datacenter fault detection and localization
A. Roy, H. Zeng, J. Bagga, and A. C. Snoeren · 2017
Earlier work this paper cites.
Sonata: query-driven streaming network telemetry
A. Gupta, R. Harrison, M. Canini, N. Feamster, J. Rexford, and W. Willinger · 2018
Earlier work this paper cites.
Language models are few-shot learners
T. B. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. M. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei · 2020
Earlier work this paper cites.
Natural language to SQL: where are we today?
H. Kim, B. So, W. Han, and H. Lee · 2020
Earlier work this paper cites.
On faithfulness and factuality in abstractive summarization
J. Maynez, S. Narayan, B. Bohnet, and R. T. McDonald · 2020
Cited alongside, same era.
Experiences with modeling network topologies at multiple levels of abstraction
J. C. Mogul, D. Goricanec, M. Pool, A. Shaikh, D. Turk, B. Koley, and X. Zhao · 2020
Cited alongside, same era.
The rise of traffic classification in iot networks: A survey
H. Tahaei, F. Afifi, A. Asemi, F. Zaki, and N. B. Anuar · 2020
Cited alongside, same era.
Flow event telemetry on programmable data plane
Y. Zhou, C. Sun, H. H. Liu, R. Miao, S. Bai, B. Li, Z. Zheng, L. Zhu, Z. Shen, Y. Xi, P. Zhang, D. Cai, M. Zhang, and M. Xu · 2020
Cited alongside, same era.
Program synthesis with large language models
J. Austin, A. Odena, M. I. Nye, M. Bosma, H. Michalewski, D. Dohan, E. Jiang, C. J. Cai, M. Terry, Q. V. Le, and C. Sutton · 2021
Cited alongside, same era.
NetworkX: Network analysis in Python
N. Developers · 2023
Closest in time.
GPTs are GPTs: An early look at the labor market impact potential of large language models
T. Eloundou, S. Manning, P. Mishkin, and D. Rock · 2023
Closest in time.
Google Bard
Google · 2023
Closest in time.
MALT example models
Google · 2023
Closest in time.
Azure OpenAI service pricing
Microsoft · 2023
Closest in time.
A guidance language for controlling large language models
Microsoft · 2023
Closest in time.
Introducing GitHub Copilot X
Microsoft · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. de Oliveira Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, A. Ray, R. Puri, G. Krueger, M. Petrov, H. Khlaaf, G. Sastry, P. Mishkin, B. Chan, S. Gray, N. Ryder, M. Pavlov, A. Power, L. Kaiser, M. Bavarian, C. Winter, P. Tillet, F. P. Such, D. Cummings, M. Plappert, F. Chantzis, E. Barnes, A. Herbert-Voss, W. H. Guss, A. Nichol, A. Paino, N. Tezak, J. Tang, I. Babuschkin, S. Balaji, S. Jain, W. Saunders, C. Hesse, A. N. Carr, J. Leike, J. Achiam, V. Misra, E. Morikawa, A. Radford, M. Knight, M. Brundage, M. Murati, K. Mayer, P. Welinder, B. McGrew, D. Amodei, S. McCandlish, I. Sutskever, and W. Zaremba · 2021
Cited alongside, same era.
Training verifiers to solve math word problems
K. Cobbe, V. Kosaraju, M. Bavarian, M. Chen, H. Jun, L. Kaiser, M. Plappert, J. Tworek, J. Hilton, R. Nakano, C. Hesse, and J. Schulman · 2021
Cited alongside, same era.
CodeT: Code generation with generated tests
B. Chen, F. Zhang, A. Nguyen, D. Zan, Z. Lin, J. Lou, and W. Chen · 2022
Cited alongside, same era.
InCoder: A generative model for code infilling and synthesis
D. Fried, A. Aghajanyan, J. Lin, S. Wang, E. Wallace, F. Shi, R. Zhong, W. Yih, L. Zettlemoyer, and M. Lewis · 2022
Cited alongside, same era.
Competition-level code generation with AlphaCode
Y. Li, D. H. Choi, J. Chung, N. Kushman, J. Schrittwieser, R. Leblond, T. Eccles, J. Keeling, F. Gimeno, A. D. Lago, T. Hubert, P. Choy, C. de Masson d’Autume, I. Babuschkin, X. Chen, P. Huang, J. Welbl, S. Gowal, A. Cherepanov, J. Molloy, D. J. Mankowitz, E. S. Robson, P. Kohli, N. de Freitas, K. Kavukcuoglu, and O. Vinyals · 2022
Cited alongside, same era.
Natural language to code translation with execution
F. Shi, D. Fried, M. Ghazvininejad, L. Zettlemoyer, and S. I. Wang · 2022
Cited alongside, same era.
Large language models encode clinical knowledge
K. Singhal, S. Azizi, T. Tu, S. S. Mahdavi, J. Wei, H. W. Chung, N. Scales, A. K. Tanwani, H. Cole-Lewis, S. Pfohl, P. Payne, M. Seneviratne, P. Gamble, C. Kelly, N. Schärli, A. Chowdhery, P. A. Mansfield, B. A. y Arcas, D. R. Webster, G. S. Corrado, Y. Matias, K. Chou, J. Gottweis, N. Tomasev, Y. Liu, A. Rajkomar, J. K. Barral, C. Semturs, A. Karthikesalingam, and V. Natarajan · 2022
Cited alongside, same era.
Closest in time.
LEVER: learning to verify language-to-code generation with execution
A. Ni, S. Iyer, D. Radev, V. Stoyanov, W. Yih, S. I. Wang, and X. V. Lin · 2023
Closest in time.
ChatGPT plugins
OpenAI · 2023
Closest in time.
Code interpreter
OpenAI · 2023
Closest in time.
Introducing ChatGPT
OpenAI · 2023
Closest in time.
OpenAI models
OpenAI · 2023
Closest in time.
OpenAI · 2023
Closest in time.
Reflexion: Language agents with verbal reinforcement learning
N. Shinn, F. Cassano, B. Labash, A. Gopinath, K. Narasimhan, and S. Yao · 2023
Closest in time.
SQL-PaLM: Improved large language model adaptation for text-to-SQL
R. Sun, S. Ö. Arik, H. Nakhost, H. Dai, R. Sinha, P. Yin, and T. Pfister · 2023
Closest in time.
LLaMA: Open and efficient foundation language models
H. Touvron, T. Lavril, G. Izacard, X. Martinet, M. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar, A. Rodriguez, A. Joulin, E. Grave, and G. Lample · 2023
Closest in time.
General data protection regulation (GDPR)
E. Union · 2023
Closest in time.
J. White, S. Hays, Q. Fu, J. Spencer-Smith, and D. C. Schmidt · 2023
Closest in time.
A survey of large language models
W. X. Zhao, K. Zhou, J. Li, T. Tang, X. Wang, Y. Hou, Y. Min, B. Zhang, J. Zhang, Z. Dong, Y. Du, C. Yang, Y. Chen, Z. Chen, J. Jiang, R. Ren, Y. Li, X. Tang, Z. Liu, P. Liu, J. Nie, and J. Wen · 2023
Closest in time.