KM-Chat: A Large-Scale Synthetic Question-Answer Dataset for Open-Domain Conversational AI

Abstract excerpt

<title>Abstract</title> <p>Recent advancements in large language models (LLMs) have significantly transformed natural language processing, particularly in the development of conversational agents. Despite these advancements, the creation of robust dialogue systems remains constrained by the limited availability of large-scale, high-quality conversational datasets. To address this gap, this study introduces KM-Cha...

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Literature Corpus work

dbf2e946-0cc1-5baf-be72-814ab70bcfa3

DOI

10.21203/rs.3.rs-7294671/v1