chunk-evidence-aggregation

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Lost in a Single Vector: Improving Long-Document Retrieval with Chunk Evidence Aggregation

arXiv cs.CL · 2026-06-18 Cached

This paper identifies document-side early compression as a failure mode in long-document dense retrieval and introduces the Evidence Dilution Index (EDI) to measure it. The authors propose DICE, a training-free method that splits documents into chunks, encodes them independently, and aggregates them into a single vector, significantly improving retrieval on long documents.

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