SIGIR 2024 W1.3 [fp] Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback

About this video

Advanced · Hand-picked by a BrighterTube curator · found via round-3 back catalogue of a channel Lumen picks video by video · 82% confidence

Examines evaluation methods for dialogue systems with user feedback. The paper teaches empirical methodology for assessing conversational AI and the impact of evaluation design on results.

A 16-minute video from Association for Computing Machinery (ACM): “SIGIR 2024 W1.3 [fp] Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback”.

Video by Association for Computing Machinery (ACM), played through YouTube's embedded player.

Part of ACM SIGIR Conference 2024