Knowledge graph embedding (KGE) is an increasingly popular technique that aims to
represent entities and relations of knowledge graphs into low-dimensional semantic spaces …

Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …

Biomedical text summarization is a critical task for comprehension of an ever-growing
amount of biomedical literature. Pre-trained language models (PLMs) with transformer …

Parameter-Efficient Tuning (PETuning) methods have been deemed by many as the new
paradigm for using pretrained language models (PLMs). By tuning just a fraction amount of …

Natural language processing (NLP) is an area of artificial intelligence that applies
information technologies to process the human language, understand it to a certain degree …

Pretrained language models (PLMs) have demonstrated strong performance on many
natural language processing (NLP) tasks. Despite their great success, these PLMs are …

Political perspective detection has become an increasingly important task that can help
combat echo chambers and political polarization. Previous approaches generally focus on …

Online healthcare services can provide unlimited and in-time medical information to users,
which promotes social goods and breaks the barriers of locations. However, understanding …

With the advent of pretrained language models (LMs), increasing research efforts have been
focusing on infusing commonsense and domain-specific knowledge to prepare LMs for …

In recent years, large language models (LLMs), such as GPTs, have attained great impact
worldwide. However, how to adapt these LLMs to better suit the vertical domain-specific …