M-BRe uses a group-then-verify LLM prompting strategy to automatically create relation extraction training data from unlabeled sentences, matching binary-classification accuracy at under half the runtime.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models
M-BRe uses a group-then-verify LLM prompting strategy to automatically create relation extraction training data from unlabeled sentences, matching binary-classification accuracy at under half the runtime.