1 citations · 1 across the 4 of their papers we have counts for
4 papers
Scaling Multimodal Search and Recommendation with Small Language Models via Upside-Down Reinforcement Learning
Yu-Chen Lin, Sanat Sharma, Hari Manikandan +3
In this work, we investigate how small language models (SLMs) can be scaled to support multimodal search and recommendation use cases while remaining efficient enough for real-time…
Smart Multi-Modal Search: Contextual Sparse and Dense Embedding Integration in Adobe Express
Cherag Aroraa, Tracy Holloway King, Jayant Kumar +6
As user content and queries become increasingly multi-modal, the need for effective multi-modal search systems has grown. Traditional search systems often rely on textual and metad…
Semantic In-Domain Product Identification for Search Queries
Sanat Sharma, Jayant Kumar, Twisha Naik +3
Accurate explicit and implicit product identification in search queries is critical for enhancing user experiences, especially at a company like Adobe which has over 50 products an…
Augmenting Knowledge Graph Hierarchies Using Neural Transformers
Sanat Sharma, Mayank Poddar, Jayant Kumar +2
Knowledge graphs are useful tools to organize, recommend and sort data. Hierarchies in knowledge graphs provide significant benefit in improving understanding and compartmentalizat…