Recently, there has been a surge of interest in the NLP community on the use of pretrained
Language Models (LMs) as Knowledge Bases (KBs). Researchers have shown that LMs …

Large pre-trained language models (PLMs) have been shown to retain implicit knowledge
within their parameters. To enhance this implicit knowledge, we propose Knowledge …

Investigating whether pre-trained language models (LMs) can function as knowledge bases
(KBs) has raised wide research interests recently. However, existing works focus on simple …

Multimodal learning has been a field of increasing interest, aiming to combine various
modalities in a single joint representation. Especially in the area of visiolinguistic (VL) …

Large language models appear to learn facts from the large text corpora they are trained on.
Such facts are encoded implicitly within their many parameters, making it difficult to verify or …

Pre‐trained multilingual language models (PMLMs) such as mBERT and XLM‐R have
shown good cross‐lingual transferability. However, they are not specifically trained to …

Cross-lingual word embeddings (CLWE) have been proven useful in many cross-lingual
tasks. However, most existing approaches to learn CLWE including the ones with contextual …

Existing efforts to improve logical reasoning ability of language models have predominantly
relied on supervised fine-tuning, hindering generalization to new domains and/or tasks. The …

With so many articles of varying qualities being produced every moment, it is a very urgent
task to screen outstanding articles and commit them to social media. To our best knowledge …