Cognitive diagnosis aims to diagnose students' knowledge proficiencies b...
Machine learning algorithms have become ubiquitous in a number of
applic...
Large language models (LLMs), like ChatGPT, have shown some human-like
c...
Knowledge tracing (KT) aims to assess individuals' evolving knowledge st...
Mathematical reasoning is one of the crucial abilities of general artifi...
In the Natural Language for Optimization (NL4Opt) NeurIPS 2022 competiti...
Understanding mathematical questions effectively is a crucial task, whic...
Many data mining tasks rely on graphs to model relational structures amo...
Cross-domain sentiment classification (CDSC) aims to use the transferabl...
As machine learning becomes more widely used for critical applications, ...
High-quality education is one of the keys to achieving a more sustainabl...
Computerized Adaptive Testing (CAT) is emerging as a promising testing
a...
Molecular property prediction (e.g., energy) is an essential problem in
...
Answering complex questions involving multiple entities and relations is...
In intelligent education systems, one key issue is to discover students'...
In intelligent education systems, one key issue is to discover students'...
Predicting molecular properties (e.g., atomization energy) is an essenti...
For offering proactive services to students in intelligent education, on...
In the area of community question answering (CQA), answer selection and
...
Transcribing content from structural images, e.g., writing notes from mu...
Understanding learning materials (e.g. test questions) is a crucial issu...
In the modern e-commerce, the behaviors of customers contain rich
inform...