Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …

Large language models (LLMs) have shown impressive abilities for open-domain NLP
tasks. However, LLMs are sometimes too footloose for natural language understanding …

Spoken language understanding (SLU) is a core task in task-oriented dialogue systems,
which aims at understanding user's current goal through constructing semantic frames. SLU …

Multi-Intent spoken language understanding (SLU) can handle complicated utterances
expressing multiple intents, which has attracted increasing attention from researchers …

This paper embarks on an exploration into the Large Language Model (LLM) datasets,
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …

Large language models have achieved remarkable success on general NLP tasks, but they
may fall short for domain-specific problems. Recently, various Retrieval-Augmented Large …