← all papers · overview

BLADE: Enhancing Black-box Large Language Models With Small Domain-specific Models

Abstract

Large Language Models (LLMs) like ChatGPT and GPT-4 are versatile and capable of addressing a diverse range of tasks. However, general LLMs, which are developed on open-domain data, may lack the domain-specific knowledge essential for tasks in vertical domains, such as legal, medical, etc. To address this issue, previous approaches either conduct continuous pre-training with domain-specific data o

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).