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…