4 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
Beyond Retrieval: Generating Narratives in Conversational Recommender Systems
Krishna Sayana, Raghavendra Vasudeva, Yuri Vasilevski +6
The recent advances in Large Language Model's generation and reasoning capabilities present an opportunity to develop truly conversational recommendation systems. However, effectiv…
FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement
Liam Hebert, Marialena Kyriakidi, Hubert Pham +4
Recent proposals in recommender systems represent items with their textual description, using a large language model. They show better results on standard benchmarks compared to an…
PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting
Liam Hebert, Krishna Sayana, Ambarish Jash +5
Understanding the nuances of a user's extensive interaction history is key to building accurate and personalized natural language systems that can adapt to evolving user preference…
User Embedding Model for Personalized Language Prompting
Sumanth Doddapaneni, Krishna Sayana, Ambarish Jash +2
Modeling long histories plays a pivotal role in enhancing recommendation systems, allowing to capture user's evolving preferences, resulting in more precise and personalized recomm…