Large language models for generative information extraction: A survey
Abstract Information Extraction (IE) aims to extract structural knowledge from plain natural
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …
Multi-behavior collaborative filtering with partial order graph convolutional networks
Representing information of multiple behaviors in the single graph collaborative filtering
(CF) vector has been a long-standing challenge. This is because different behaviors …
(CF) vector has been a long-standing challenge. This is because different behaviors …
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs
A well-developed recommendation system can not only leverage multi-typed interactions
(such as page view, add-to-cart, and purchase) to better identify user preferences but also …
(such as page view, add-to-cart, and purchase) to better identify user preferences but also …
BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling
In digital education, Cognitive Diagnosis (CD) is essential for modeling learners' cognitive
states, such as problem-solving ability and knowledge proficiency, by analyzing their …
states, such as problem-solving ability and knowledge proficiency, by analyzing their …