most citedAdapter-based Approaches to Knowledge-enhanced Language Models -- A Survey

3 citations · 3 across the 4 of their papers we have counts for

collaborators

1 paper

cs.CL2024★ 3 cited

Adapter-based Approaches to Knowledge-enhanced Language Models -- A Survey

Alexander Fichtl, Juraj Vladika, Georg Groh

Knowledge-enhanced language models (KELMs) have emerged as promising tools to bridge the gap between large-scale language models and domain-specific knowledge. KELMs can achieve hi…