Search Results for author:
Found 4 papers, 1 papers with code
SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems
We then empirically assess the extent to which current tools can measure these effects and current systems display them.
Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design
Over the last several years, end-to-end neural conversational agents have vastly improved their ability to carry unrestricted, open-domain conversations with humans.
No Language Left Behind: Scaling Human-Centered Machine Translation
Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today.
Ranked #1 on
Machine Translation
on IWSLT2017 French-English
(SacreBLEU metric)
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
Over the last several years, end-to-end neural conversational agents have vastly improved in their ability to carry a chit-chat conversation with humans.
