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Vivek Sembium

2 accepted papers

2025

RTSM: Knowledge Distillation with Diverse Signals for Efficient Real-Time Semantic Matching in E-Commerce

NAACL 2025industry

Semantic matching plays a pivotal role in e-commerce by facilitating better product discovery and driving sales within online stores. Transformer models have proven exceptionally effective in mapping queries to an embedding space, positioning semantically related entities (queries or products) in cl…

Cited by 0SourcePDFScholar
2023

CoMix: Guide Transformers to Code-Mix using POS structure and Phonetics

ACL 2023findings

Code-mixing is ubiquitous in multilingual societies, which makes it vital to build models for code-mixed data to power human language interfaces. Existing multilingual transformer models trained on pure corpora lack the ability to intermix words of one language into the structure of another. These m…