8 citations · 14 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
Hide and Seek: Fingerprinting Large Language Models with Evolutionary Learning
Dmitri Iourovitski, Sanat Sharma, Rakshak Talwar
As content generated by Large Language Model (LLM) has grown exponentially, the ability to accurately identify and fingerprint such text has become increasingly crucial. In this wo…
Retrieval Augmented Generation for Domain-specific Question Answering
Sanat Sharma, David Seunghyun Yoon, Franck Dernoncourt +5
Question answering (QA) has become an important application in the advanced development of large language models. General pre-trained large language models for question-answering a…
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…