Papers by Prayas Agrawal
Dense Retrieval with Quantity Comparison Intent (2025.findings-acl)
Copied to clipboard
| Challenge: | Existing sparse and dense retrieval systems fragment numerals and units that express quantities in arbitrary ways. |
| Approach: | They propose a dense retrieval system built around a density multi-vector index . they propose eliciting and exploiting quantities and associated comparison intents . |
| Outcome: | The proposed system is faster and more accurate than popular PLMs on two public and one proprietary e-commerce benchmarks. |