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cs.IR2026
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…
cs.IR2018★ 1 cited
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…