Cross-lingual named entity recognition (CrossNER) faces challenges stemm...
Sequential recommendation demonstrates the capability to recommend items...
Recommender systems are important for providing personalized services to...
Currently, the reduction in the parameter scale of large-scale pre-train...
Pretrained language models (LMs) have shown compelling performance on va...
Different from conventional federated learning, personalized federated
l...
In dynamic interaction graphs, user-item interactions usually follow
het...
Named entity recognition (NER) is an important research problem in natur...
The collaborative filtering (CF) problem with only user-item interaction...
Dynamic interaction graphs have been widely adopted to model the evoluti...
Generating large-scale samples of stationary random fields is of great
i...
Driven by the teacher-student paradigm, knowledge distillation is one of...
This paper presents a fast algorithm to solve a spectral estimation prob...
Recent studies about learning multilingual representations have achieved...
Brain networks have received considerable attention given the critical
s...
Generating an article automatically with computer program is a challengi...