LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues

arXiv:2403.00462v1 Announce Type: new
Abstract: Virtual assistants are poised to take a dramatic leap forward in terms of their dialogue capabilities, spurred by recent advances in transformer-based Large Language Models (LLMs). Yet a major bottleneck to achieving genuinely transformative task-oriented dialogue capabilities remains the scarcity of high quality and linguistically sophisticated data. Existing datasets, while impressive in scale, have limited domain coverage and contain few genuinely challenging conversational phenomena; those which are present are typically unlabelled, making it difficult to …

abstract advances arxiv assistants capabilities cs.cl data dialogue generated language language models large language large language models llm llms major quality terms transformer type virtual virtual assistants