A RAG pipeline using llama3.2-3B and UN COP documents generated 34 policy scenarios for Sub-Saharan Africa, 30 passed author validation, but automated evaluation showed mixed agreement with human judgment.
RAGAs: Automated evaluation of re- trieval augmented generation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa
A RAG pipeline using llama3.2-3B and UN COP documents generated 34 policy scenarios for Sub-Saharan Africa, 30 passed author validation, but automated evaluation showed mixed agreement with human judgment.