7 citations · 13 across the 7 of their papers we have counts for
3 papers · 2 filters
Detecting Agreement in Multi-party Conversational AI
Laura Schauer, Jason Sweeney, Charlie Lyttle +10
Today, conversational systems are expected to handle conversations in multi-party settings, especially within Socially Assistive Robots (SARs). However, practical usability remains…
Detecting agreement in multi-party dialogue: evaluating speaker diarisation versus a procedural baseline to enhance user engagement
Angus Addlesee, Daniel Denley, Andy Edmondson +9
Conversational agents participating in multi-party interactions face significant challenges in dialogue state tracking, since the identity of the speaker adds significant contextua…
Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering
Angus Addlesee, Weronika Sieińska, Nancie Gunson +3
This paper evaluates the extent to which current Large Language Models (LLMs) can capture task-oriented multi-party conversations (MPCs). We have recorded and transcribed 29 MPCs b…