Accelerating Conversational Agents Built with Off-the-Shelf Modularized Services

Jinho Lee, Inseok Hwang, Thomas S. Hubregtsen, Anne E. Gattiker, Christopher M. Durham

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Article number8794690
Pages (from-to)47-57
Number of pages11
JournalIEEE Pervasive Computing
Issue number2
Publication statusPublished - 2019 Apr 1

Bibliographical note

Publisher Copyright:
© 2002-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computational Theory and Mathematics


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