Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

We introduce C-Pack, a package of resources that significantly advances the field of general
text embeddings for Chinese. C-Pack includes three critical resources. 1) C-MTP is a …

Automatic Question Answering (QA) has been successfully applied in various domains such
as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables …

Pre-trained models have achieved state-of-the-art results in various Natural Language
Processing (NLP) tasks. Recent works such as T5 and GPT-3 have shown that scaling up …

Recent advancements in large language models (LLMs) have transformed the field of
question answering (QA). However, evaluating LLMs in the medical field is challenging due …

Protest event analysis is an important method for the study of collective action and social
movements and typically draws on traditional media reports as the data source. We …

Pre-trained language models have achieved state-of-the-art results in various Natural
Language Processing (NLP) tasks. GPT-3 has shown that scaling up pre-trained language …

Question answering, serving as one of important tasks in natural language processing,
enables machines to understand questions in natural language and answer the questions …

The advent of Question Answering Systems (QASs) has been envisaged as a promising
solution and an efficient approach for retrieving significant information over the Internet. A …

Recently, the performance of Pre-trained Language Models (PLMs) has been significantly
improved by injecting knowledge facts to enhance their abilities of language understanding …