As a cornerstone of modern information access, search engines have become
indispensable in everyday life. With the rapid advancements in AI and natural language …

Retrieval-Augmented Generation (RAG) has become a powerful paradigm for enhancing
large language models (LLMs) through external knowledge retrieval. Despite its widespread …

In a real-world RAG system, the current query often involves spoken ellipses and ambiguous
references from dialogue contexts, necessitating query rewriting to better describe user's …

Despite the success of integrating large language models into the development of
conversational systems, many studies have shown the effectiveness of retrieving and …

Conversational speech synthesis (CSS) aims to take the current dialogue (CD) history as a
reference to synthesize expressive speech that aligns with the conversational style. Unlike …

The integration of artificial intelligence (AI), particularly large language models (LLMs) like
OpenAI's ChatGPT, into clinical research could significantly enhance the informed consent …

To deliver coherent and personalized experiences in long-term conversations, existing
approaches typically perform retrieval augmented response generation by constructing …

Large Language Models (LLMs) are prone to hallucination with non-factual or unfaithful
statements, which undermines the applications in real-world scenarios. Recent researches …

In recent studies, Large Language Models (LLMs) have shown remarkable effectiveness in
a wide range of natural language processing tasks. However, their knowledge is limited to …

We present a pilot study exploring the potential of Large Language Models (LLMs) to
interface with application programming interfaces through logical instructions, specifically …