Papers by Surender Kumar

2 papers
Dense Retrieval with Quantity Comparison Intent (2025.findings-acl)

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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.
Search Query Spell Correction with Weak Supervision in E-commerce (2023.acl-industry)

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Challenge: Misspelled search queries can lead to empty or irrelevant products . only 29% of the population in india is proficient in english .
Approach: They propose to group spell errors into error classes and then leverage a Transformer model for contextual spell correction.
Outcome: The proposed model improves on tough spell mistakes without human intervention without human input.

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