Research into Question-Answering (QA) tasks has become increasingly popular thanks to the development of large language models (LLM). LLM models can now provide answers to questions in many areas such as economics, mathematics, etc. However, the knowledge of LLM is mainly embedded in the parameters of the LLMs, making it unexplainable. With the enhanced model can improve the accuracy of the answer. On top of that, constructing a QA model enhanced by multimedia data may encounter diverse challenges. For example, the use of different data types, e.g., text, images, audio, and video requires sophisticated algorithms and techniques capable of processing and retrieving meaningful information, in many cases across media. In addition, ensuring the quality and accuracy of retrieved data raises a significant challenge for the QA model. More research is also needed in this field to improve the trustworthiness of the QA model by indicating specific data source
This workshop aims to explore the essential role of AI-powered Q&A systems using multimedia data. Participants will present novel findings and engage in comprehensive discussions about state-of-the-art methodologies and technologies enabling the retrieval, analysis, and utilisation of multimedia data for providing valuable answers and feedback, along with application case studies across sectors
Review of Q&A systems with multimedia-retrieval data
Multimedia data retrieval techniques for QA systems
Interactive and conversational multimedia QA systems
QA systems and the enhancement of multimedia data
Dataset and test collections of QA system with multimedia data
Case studies showcasing QA systems using multimedia data across sectors, such as Education and Training, Healthcare, Lifelog, Finance, Media, Sports, etc.
Ethical considerations and challenges in utilising multimedia for QA systems
Multimedia data processing for multimedia QA systems
Multimedia QA systems using machine learning, deep learning, neural networks, and LLM
Evaluating the multimedia retrieved data for QA systems.
Paper Submission: March 15, 2024 Extended: April 01, 2024
Paper Notification: April 15, 2024
Camera-Ready Submission: April 25, 2024
For any queries related to submission (e.g. formatting and deadline), please contact: tai.tanmai@dcu.ie