7 citations · 27 across the 8 of their papers we have counts for
8 papers
RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System)
Filip Janik, Ewa Olton, Robert Smales +4
We present RPO-PDT: a retrieval-grounded, role-play-based dialogue system for adaptive student support in higher education. RPO-PDT is: (1) able to provide institution-specific Per…
SafeCtrl-RL: Inference-Time Adaptive Behaviour Control for LLM Dialogue via RL-Driven Prompt Optimisation
Michael Orme, Yanchao Yu, Zhiyuan Tan
Ensuring safe and contextually appropriate behaviour in Large Language Models (LLMs) remains a critical challenge for real-world deployment. We present \textbf{SafeCtrl-RL}, an inf…
Socially Pertinent Robots in Gerontological Healthcare
Xavier Alameda-Pineda, Angus Addlesee, Daniel Hernández García +41
Despite the many recent achievements in developing and deploying social robotics, there are still many underexplored environments and applications for which systematic evaluation o…
Explainable Representations of the Social State: A Model for Social Human-Robot Interactions
Daniel Hernández García, Yanchao Yu, Weronika Sieińska +4
In this paper, we propose a minimum set of concepts and signals needed to track the social state during Human-Robot Interaction. We look into the problem of complex continuous inte…
An Ensemble Model with Ranking for Social Dialogue
Ioannis Papaioannou, Amanda Cercas Curry, Jose L. Part +6
Open-domain social dialogue is one of the long-standing goals of Artificial Intelligence. This year, the Amazon Alexa Prize challenge was announced for the first time, where real c…
The BURCHAK corpus: a Challenge Data Set for Interactive Learning of Visually Grounded Word Meanings
Yanchao Yu, Arash Eshghi, Gregory Mills +1
We motivate and describe a new freely available human-human dialogue dataset for interactive learning of visually grounded word meanings through ostensive definition by a tutor to…
Training an adaptive dialogue policy for interactive learning of visually grounded word meanings
Yanchao Yu, Arash Eshghi, Oliver Lemon
We present a multi-modal dialogue system for interactive learning of perceptually grounded word meanings from a human tutor. The system integrates an incremental, semantic parsing/…
Learning how to learn: an adaptive dialogue agent for incrementally learning visually grounded word meanings
Yanchao Yu, Arash Eshghi, Oliver Lemon
We present an optimised multi-modal dialogue agent for interactive learning of visually grounded word meanings from a human tutor, trained on real human-human tutoring data. Within…