8 citations · 14 across the 9 of their papers we have counts for
9 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…
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…
Contextual Font Recommendations based on User Intent
Sanat Sharma, Jayant Kumar, Jing Zheng +1
Adobe Fonts has a rich library of over 20,000 unique fonts that Adobe users utilize for creating graphics, posters, composites etc. Due to the nature of the large library, knowing…
Contextual Multilingual Spellchecker for User Queries
Sanat Sharma, Josep Valls-Vargas, Tracy Holloway King +2
Spellchecking is one of the most fundamental and widely used search features. Correcting incorrectly spelled user queries not only enhances the user experience but is expected by t…
LayoutBERT: Masked Language Layout Model for Object Insertion
Kerem Turgutlu, Sanat Sharma, Jayant Kumar
Image compositing is one of the most fundamental steps in creative workflows. It involves taking objects/parts of several images to create a new image, called a composite. Currentl…