A perspective-conditioned RAG architecture is proposed for AI-assisted LCA interpretation, using scenario anchors, micro-queries, and neutral synthesis, demonstrated on a hydrogen diesel reduction case in Italian apple production.
Retrieval-Augmented Generation (RAG) Chatbots for Education: A Survey of Applications
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
ELERAG integrates Wikidata entity linking with hybrid RRF re-ranking into RAG and outperforms baselines on a custom Italian academic dataset while cross-encoder methods win on the general SQuAD-it dataset.
A RAG+prompt system improves BLEU scores for Japanese-Chinese NMCC translations from 24.28 to 29.96 as the knowledge base grows from 0 to 2,000 examples.
citing papers explorer
-
Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms
ELERAG integrates Wikidata entity linking with hybrid RRF re-ranking into RAG and outperforms baselines on a custom Italian academic dataset while cross-encoder methods win on the general SQuAD-it dataset.