Papers with manifold-aware distance

1 papers
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval (2025.emnlp-main)

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Challenge: Empirical evidence suggests that manifold-aware distance allows DPR to leverage context from related neighboring passages.
Approach: They propose a "manifold-aware" distance metric that measures query–passage distance . they propose to model the intrinsic manifold structure of passages using a nearest-neighbor graph .
Outcome: Empirical evidence suggests MA-DPR outperforms Euclidean and cosine distances on OOD . it can be applied to a wide range of dense embedding and retrieval tasks .

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