The article introduces a bidirectional approach to address limitations in scientific and industrial information retrieval. It focuses on enhancing language understanding, providing comprehensive answers, and enabling bidirectional engagement. The system aims to improve transparency, logical thinking, and comprehensive understanding in the field of scientific information retrieval. By presenting intermediate results to users at various stages, it facilitates understanding of the system's reasoning. The approach combines sparse retrieval with query expansion and hybrid retrieval with iterative deepening for comprehensive answers to complex questions.
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