A generative AI-driven interactive listening assessment task

A Runge, Y Attali, GT LaFlair, Y Park… - Frontiers in Artificial …, 2024 - frontiersin.org
Introduction Assessments of interactional competence have traditionally been limited in
large-scale language assessments. The listening portion suffers from construct …

Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning

J Wang, J Qu, K Wang, Z Li, W Hua, X Li… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Knowledge-grounded dialogue (KGD) learns to generate an informative response based on
a given dialogue context and external knowledge (eg, knowledge graphs; KGs). Recently …

Unraveling the thread: understanding and addressing sequential failures in human-robot interaction

L Tisserand, B Stephenson… - Frontiers in Robotics …, 2024 - frontiersin.org
Interaction is a dynamic process that evolves in real time. Participants interpret and orient
themselves towards turns of speech based on expectations of relevance and …

Automated priority detection in software bugs: A comprehensive study on transformer-based encoders with contrastive learning, large language models and vector …

EH Yılmaz - 2024 - open.metu.edu.tr
Software development processes include many challenges that require human effort and
time investment. In time, many tools and techniques are developed to address these …

[PDF][PDF] Utilizing Large Language Models for Hallucination-free Conversational AI in Elderly Well-being Monitoring

R Baghdasaryan - theses.liacs.nl
Conversational AI is a promising solution to mitigate the growing shortage of human
caregivers for elderly people. However, AI systems, and LLMs in particular often produce …