arXiv (All)
open access
Retrieval-Augmented Multi-Prompt Ensemble for Minor-Grain Breeding Information Extraction
This paper presents our system for CCL2026-Eval Task 5: Minor-Grain Breeding Information Extraction (MGBIE), which jointly extracts 12 entity types and 6 relation types from minor-grain breeding literature. We propose RAME (Retrieval-Augmented Multi-Prompt Ensemble), a training-free framework that e
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- MetaInfer: A Knowledge Only LLM Inference Engine Generator SKILL Toolbox#366327
- Vulnerability of Natural Language Classifiers to Evolutionary Generated Adversarial Text#310852
- JeanKaddour/minipile#786962
- ARB: A Matched Authorship-Rewriting Benchmark Dataset for AI-Text Detector Evaluation#422289
- PDMR: Passage-Driven Multi-ID Document Retrieval#986400
Record · ID 975192
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive