Taxonomy expansion task is essential in organizing the ever-increasing v...
Discriminating the traversability of terrains is a crucial task for
auto...
Accelerometer data is commonplace in physical activity research, exercis...
Instruction tuning large language models (LLMs) remains a challenging ta...
Cross-modal contrastive learning in vision language pretraining (VLP) fa...
Concepts benefit natural language understanding but are far from complet...
Vision-Language models (VLMs) that use contrastive language-image
pre-tr...
The Internet of Things (IoT) system generates massive high-speed tempora...
Text classification is a very classic NLP task, but it has two prominent...
Chinese Grammatical Error Correction (CGEC) aims to automatically detect...
Code summarization generates brief natural language descriptions of sour...
The concepts in knowledge graphs (KGs) enable machines to understand nat...
Taxonomies have been widely used in various domains to underpin numerous...
Simile interpretation is a crucial task in natural language processing.
...
In this work we propose an effective preconditioning technique to accele...
Sparse coding aims to model data vectors as sparse linear combinations o...
Code summaries are brief natural language descriptions of source code pi...
We consider a measurement constrained supervised learning problem, that ...
Code summarization generates brief natural language description given a
...
In practical scenario, relation extraction needs to first identify entit...