Online recommender systems (RS) aim to match user needs with the vast am...
Due to the naturally power-law distributed nature of user-item interacti...
Text summarization has a wide range of applications in many scenarios. T...
In monolingual dense retrieval, lots of works focus on how to distill
kn...
Recent multilingual pre-trained models have shown better performance in
...
We propose a new general model called IPNN - Indeterminate Probability N...
Recent research demonstrates the effectiveness of using pretrained langu...
In this paper, we introduce XGLUE, a new benchmark dataset to train
larg...
Personalized Route Recommendation (PRR) aims to generate user-specific r...