Measurement first.

Research here pays twice: once as a paper, once as a capability the products and the enterprise work can use. One paper is published; the rest are under review or available as preprints.

Published

−41.8%

Latency Optimization in Production Voice AI Pipelines: A Systems Approach

A systems treatment of latency in voice pipelines running across more than 40,000 locations: where the time goes, and a set of changes that cut median end-to-end latency by 41.8 percent (3,277 ms to 1,909 ms).

Rodrigues, C. and Vas, O. (2026). In Artificial Neural Networks and Machine Learning, ICANN 2026, Part V, Lecture Notes in Computer Science, Springer, pp. 450-461.

doi:10.1007/978-3-032-38404-1_36

Under review and preprints

Further manuscripts are under review at journals and conferences or available as preprints, across these lines of work. Titles, venues and preprint links are kept on the research index and the ORCID record so that status is always current.

  • Evaluating language models by severity

    Probes that score how badly a model fails, not just whether.

  • Hallucination in generative models

    How and when outputs drift from the source.

  • Developer identity and agent memory

    Benchmarks for what an AI assistant should know about the engineer it works with.

  • Visual attention

    Predicting where the eye lands first on a creative, the research line behind FirstGlance.

  • Trust and personality in language-model interaction

    A review of what changes when a model has a character.