Mem-PAL: Enhancing Dialogue Assistants with Long-Term Memory and Personalization

This research explores the application of memory mechanisms to improve personalized dialogue systems. The work is likely to contribute to more effective and engaging user-agent interactions, particularly in long-term contexts.

• •Focuses on improving dialogue assistants.
• •Employs a memory-based approach for personalization.
• •Aims to enhance long-term user-agent interaction.