Generating large-scale, domain-specific, multilingual multi-turn dialogue datasets remains a
significant hurdle for training effective Multi-Turn Intent Classification models in chatbot …

In the realm of information retrieval, users often engage in multi-turn interactions with search
engines to acquire information, leading to the formation of sequences of user feedback …

Personalized dialogue systems have gained significant attention in recent years for their
ability to generate responses in alignment with different personas. However, most existing …

Standard Large Language Models (LLMs) struggle with handling dialogues with long
contexts due to efficiency and consistency issues. According to our observation, dialogue …

Large Language Models (LLMs) demonstrate superior performance in generative scenarios
and have attracted widespread attention. Among them, stylized dialogue generation is …

Nowadays, large language models (LLMs) have demonstrated their ability to be a powerful
knowledge generator of generate-then-read paradigm for open-domain question answering …

Two analogous tasks have emerged in multimodal dialogue research: multimodal dialogue
response generation and multimodal task-oriented dialogue. Both tasks share the goal of …