Pre-trained Language Models (PLMs) which are trained on large text corpus via self-
supervised learning method, have yielded promising performance on various tasks in …

Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention due to its powerful emergent abilities. Some researchers suggest that LLMs could …

Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …

The contemporary LLMs are prone to producing hallucinations, stemming mainly from the
knowledge gaps within the models. To address this critical limitation, researchers employ …

Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible …

With the increasing of model capacity brought by pre-trained language models, there
emerges boosting needs for more knowledgeable natural language processing (NLP) …

In recent years, Natural Language Processing (NLP) has played a significant role in various
Artificial Intelligence (AI) applications such as chatbots, text generation, and language …

Knowledge in NLP has been a rising trend especially after the advent of large-scale pre-
trained models. Knowledge is critical to equip statistics-based models with common sense …

Abstract Knowledge plays a critical role in artificial intelligence. Recently, the extensive
success of pre-trained language models (PLMs) has raised significant attention about how …

Multimodal Sentiment Analysis leverages multimodal signals to detect the sentiment of a
speaker. Previous approaches concentrate on performing multimodal fusion and …