Sparse knowledge graph (KG) scenarios pose a challenge for previous Know...
Despite achieving remarkable performance on various vision-language task...
Interactive Natural Language Processing (iNLP) has emerged as a novel
pa...
Recent progress in large language models has enabled the deployment of m...
Instruction tuning is widely recognized as a key technique for building
...
Digital twin is a problem of augmenting real objects with their digital
...
We propose a cross-modal attention distillation framework to train a
dua...
The COVID-19 epidemic has been a significant healthcare challenge in the...
We present the Molweni dataset, a machine reading comprehension (MRC) da...