31 citations · 69 across the 5 of their papers we have counts for
5 papers
Multi-Task End-to-End Training Improves Conversational Recommendation
Naveen Ram, Dima Kuzmin, Ellie Ka In Chio +4
In this paper, we analyze the performance of a multitask end-to-end transformer model on the task of conversational recommendations, which aim to provide recommendations based on a…
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
Kun Su, Judith Yue Li, Qingqing Huang +8
Video-to-music generation demands both a temporally localized high-quality listening experience and globally aligned video-acoustic signatures. While recent music generation models…
MAQA: A Multimodal QA Benchmark for Negation
Judith Yue Li, Aren Jansen, Qingqing Huang +3
Multimodal learning can benefit from the representation power of pretrained Large Language Models (LLMs). However, state-of-the-art transformer based LLMs often ignore negations in…
MuLan: A Joint Embedding of Music Audio and Natural Language
Qingqing Huang, Aren Jansen, Joonseok Lee +3
Music tagging and content-based retrieval systems have traditionally been constructed using pre-defined ontologies covering a rigid set of music attributes or text queries. This pa…
A Kalman filter powered by -matrices for quasi-continuous data assimilation problems
Judith Y. Li, Sivaram Ambikasaran, Eric F. Darve +1
Continuously tracking the movement of a fluid or a plume in the subsurface is a challenge that is often encountered in applications, such as tracking a plume of injected CO or…