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Accelerating Conversational Agents Built With Off-the-Shelf Modularized Services
Cited 3 time in
Web of Science
Cited 4 time in Scopus
- Authors
- Issue Date
- 2019-04
- Publisher
- IEEE COMPUTER SOC
- Citation
- IEEE PERVASIVE COMPUTING, Vol.18 No.2, pp.47-57
- Abstract
- Today's common practice in developing conversational agents is pipelining off-the-shelf modularized services as ready-made building blocks. However, the discrete and sequential nature of the modules yields long response latency. We introduce Sci-Fii, a speculative inference framework accelerating conversational agent systems built with off-the-shelf modules, while keeping the modules unchanged.
- ISSN
- 1536-1268
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Related Researcher
- College of Engineering
- Department of Electrical and Computer Engineering
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