RECIPER improves procedure-oriented retrieval from materials papers by combining paragraph-level dense retrieval with LLM-extracted procedural summaries and lightweight reranking, yielding average gains of +3.73 Recall@1 and better downstream QA.
Experimental Setup We evaluate RECIPER on a materials-science QA bench- mark built from 300+ research articles collected from public sources (e.g., arXiv and Semantic Scholar)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
RECIPER: A Dual-View Retrieval Pipeline for Procedure-Oriented Materials Question Answering
RECIPER improves procedure-oriented retrieval from materials papers by combining paragraph-level dense retrieval with LLM-extracted procedural summaries and lightweight reranking, yielding average gains of +3.73 Recall@1 and better downstream QA.