1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2025
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…
cs.IR2024★ 1 cited
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…