SYNTHETIC AND REAL-WORLD BENCHMARKS

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Challenge:	Existing retrieval methods rely on transforming user queries into vector representations and retrieving documents based on cosine similarity and static embeddings.
Approach:	They propose an inference-time logical reasoning framework that incorporates logical thinking into retrieval process.
Outcome:	The proposed method outperforms traditional retrieval methods on synthetic and real-world benchmarks on synthetic queries and datasets.

Papers with synthetic and real-world benchmarks