Humans possess an extraordinary ability to create and utilize tools. With the advent of
foundation models, artificial intelligence systems have the potential to be equally adept in …

This survey provides a comprehensive review of research on multi-turn dialogue systems,
with a particular focus on multi-turn dialogue systems based on large language models …

This paper highlights the importance of personalization in large language models and
introduces the LaMP benchmark--a novel benchmark for training and evaluating language …

Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …

This paper studies retrieval-augmented approaches for personalizing large language
models (LLMs), which potentially have a substantial impact on various applications and …

Recently, the advent of large language models (LLMs) has revolutionized generative
agents. Among them, Role-Playing Conversational Agents (RPCAs) attract considerable …

Remembering important information from the past and continuing to talk about it in the
present are crucial in long-term conversations. However, previous literature does not deal …

The recent advent of large language models (LLM) has resulted in high-performing
conversational agents such as ChatGPT. These agents must remember key information from …

In order to build self-consistent personalized dialogue agents, previous research has mostly
focused on textual persona that delivers personal facts or personalities. However, to fully …

The personalized dialogue explores the consistent relationship between dialogue
generation and personality. Existing personalized dialogue agents model persona profiles …