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.
Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers
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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.