1 citations · 1 across the 2 of their papers we have counts for
3 papers
HARNESS-LM: A Three-Phase Training Recipe for Harnessing SLMs in Sponsored Search Retrieval
Vipul Gupta, Shikhar Mohan, Lakshya Kumar +4
In the competitive landscape of sponsored search, balancing retrieval quality with production latency is a critical challenge. While large retrieval models based on Small Language…
Diversity driven Query Rewriting in Search Advertising
Akash Kumar Mohankumar, Nikit Begwani, Amit Singh
Retrieving keywords (bidwords) with the same intent as query, referred to as close variant keywords, is of prime importance for effective targeted search advertising. For head and…
Learning From Weights: A Cost-Sensitive Approach For Ad Retrieval
Nikit Begwani, Shrutendra Harsola, Rahul Agrawal
Retrieval models such as CLSM is trained on click-through data which treats each clicked query-document pair as equivalent. While training on click-through data is reasonable, this…