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 …

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 …

As Pre-trained language models (LMs) play an important role in various Natural Language
Processing (NLP) tasks, it is becoming increasingly important to make sure the knowledge …

Artificial intelligence (AI), especially the most recent large language models (LLMs), holds
great promise in healthcare and medicine, with applications spanning from biological …

In this paper, we introduce HugNLP, a unified and comprehensive library for natural
language processing (NLP) with the prevalent backend of Hugging Face Transformers …

The factual inaccuracies (" hallucinations") of large language models have recently inspired
more research on knowledge-enhanced language modeling approaches. These are often …

Abstract Knowledge graphs (KGs) can provide rich factual knowledge for language models,
enhancing reasoning ability and interpretability. However, existing knowledge injection …

Offline evaluation of LLMs is crucial in understanding their capacities, though current
methods remain underexplored in existing research. In this work, we focus on the offline …