8 citations · 8 across the 4 of their papers we have counts for
4 papers
Unified Multi-Task Relevance Modeling for E-Commerce: Comparing Task Routing Architectures Across LLMs and Cross-Encoders
Md Omar Faruk Rokon, Jhalak Nilesh Acharya, Shasvat Desai +2
How can we build a single relevance model that handles six different entity pair relationship types in e commerce from query product matching to product type similarity when each t…
Scaling Dense Retrieval with LLM-Annotated Training Data: Structured Mining and Progressive Curriculum for E-Commerce Sponsored Search
Md Omar Faruk Rokon, Shasvat Desai, Jhalak Nilesh Acharya +9
How can we generate high-quality training data for dense retrieval models at production scale, without relying on click signals or manual annotation? This question is critical for…
Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling
Shasvat Desai, Md Omar Faruk Rokon, Jhalak Nilesh Acharya +4
Modern search systems rely on a fast first stage retriever to fetch relevant items from a massive catalog of items. Deployed search systems often use user engagement signals to sup…
Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce
Jianghong Zhou, Bo Liu, Jhalak Nilesh Acharya Yao Hong +2
In the dynamic field of eCommerce, the quality and comprehensiveness of product descriptions are pivotal for enhancing search visibility and customer engagement. Effective product…