3 citations · 4 across the 3 of their papers we have counts for
3 papers
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting
Md Kowsher, Md. Shohanur Islam Sobuj, Nusrat Jahan Prottasha +3
Time series forecasting remains a challenging task, particularly in the context of complex multiscale temporal patterns. This study presents LLM-Mixer, a framework that improves fo…
Practical Parallel Algorithms for Non-Monotone Submodular Maximization
Shuang Cui, Kai Han, Jing Tang +3
Submodular maximization has found extensive applications in various domains within the field of artificial intelligence, including but not limited to machine learning, computer vis…
BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model
Aakas Zhiyuli, Yanfang Chen, Xuan Zhang +1
With the continuous development and change exhibited by large language model (LLM) technology, represented by generative pretrained transformers (GPTs), many classic scenarios in v…