most citedEvaluating Language Models for Knowledge Base Completion

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2023

Evaluating the Knowledge Base Completion Potential of GPT

Blerta Veseli, Simon Razniewski, Jan-Christoph Kalo +1

Structured knowledge bases (KBs) are an asset for search engines and other applications, but are inevitably incomplete. Language models (LMs) have been proposed for unsupervised kn…

cs.CL2023★ 2 cited

Evaluating Language Models for Knowledge Base Completion

Blerta Veseli, Sneha Singhania, Simon Razniewski +1

Structured knowledge bases (KBs) are a foundation of many intelligent applications, yet are notoriously incomplete. Language models (LMs) have recently been proposed for unsupervis…