Large language models (LLMs) have demonstrated great success in various fields,
benefiting from their huge amount of parameters that store knowledge. However, LLMs still …

Information Retrieval (IR) systems are crucial tools for users to access information, widely
applied in scenarios like search engines, question answering, and recommendation …

In conversational AI, personalizing dialogues with persona profiles and contextual
understanding is essential. Despite large language models'(LLMs) improved response …

The increasing size and complexity of pre-trained language models have demonstrated
superior performance in many applications, but they usually require large training datasets …

Time series forecasting plays a crucial role in data mining, driving rapid advancements
across numerous industries. With the emergence of large models, time series foundation …

Abstract Empowering Large Language Models (LLMs) with distinct human-like personality
traits has become an innovative task for developing advanced dialog systems. Although …

Large Language Models (LLMs) have significantly improved personalized conversational
capabilities. However, existing datasets like Persona Chat, Synthetic Persona Chat, and …

Existing work on large language model (LLM) personalization assigned different responding
roles to LLM, but overlooked the diversity of questioners. In this work, we propose a new …

Incorporating explicit personas into dialogue models is critical for generating responses that
fulfill specific user needs and preferences, creating a more personalized and engaging …