CONSISTRE: A Unified Consistency-Aware Framework for Document-Level Relation Extraction with Large Language Models
Factual evidence
What the source reports
CONSISTRE is a new framework designed to improve consistency in document-level relation extraction using large language models by enforcing relational constraints.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 25 September 2026
- Collected by OneBench
- 28 Jul 2026, 15:18 UK
Stored source excerpt
arXiv:2607.24312v1 Announce Type: new Abstract: Document-level relation extraction (DocRE) aims to extract relations among multiple entities across extended contexts while maintaining consistency across predicted triples.…
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The factual summary is a OneBench synthesis, not a quotation or independent verification. Collection time is not publication time. Open the source for its full context; related reporting can share the same underlying announcement.
OneBench interpretation
Institutional assessment
So what
Ensuring factual consistency in LLM-extracted relations is critical for financial risk and compliance document processing.
Do what
Add CONSISTRE to the Q3 review of knowledge graph and document intelligence vendor capabilities.