AI RESEARCH
RECIPER: A Dual-View Retrieval Pipeline for Procedure-Oriented Materials Question Answering
arXiv CS.AI
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ArXi:2604.11229v1 Announce Type: cross Retrieving procedure-oriented evidence from materials science papers is difficult because key synthesis details are often scattered across long, context-heavy documents and are not well captured by paragraph-only dense retrieval. We present RECIPER, a dual-view retrieval pipeline that indexes both paragraph-level context and compact large language model-extracted procedural summaries, then combines the two candidate streams with lightweight lexical reranking.