Large Language Models (LLMs), such as ChatGPT and GPT-4, have dramatically
transformed natural language processing research and shown promising strides towards …

Multimodal emotion recognition is an important research topic in artificial intelligence.
However, due to problems such as complex environments and inaccurate annotations …

Multimodal emotion recognition plays a crucial role in enhancing user experience in human-
computer interaction. Over the past few decades, researchers have proposed a series of …

In document-level event extraction (DEE) tasks, a document typically contains many event
records with multiple event roles. Therefore, accurately extracting all event records is a big …

Accurate address resolution plays a vital role in UAV delivery systems. Existing address
resolution systems heavily rely on user-provided Point of Interest (POI) information …

Pre-training serves as a foundation of recent NLP models, where language modeling tasks
are performed over large texts. Typical models like BERT and GPT take the corpus as a …

Language models strongly rely on frequency information because they maximize the
likelihood of tokens during pre-training. As a consequence, language models tend to not …

The popularization of the internet and the widespread use of smartphones have led to a
rapid growth in the number of social media users. While information technology has brought …

Cognitive reasoning holds a significant place within Natural Language Processing (NLP).
Yet, the exploration of zero-shot scenarios, which align more closely with real-life situations …

We present CNER-UAV, a fine-grained C hinese N ame E ntity R ecognition dataset
specifically designed for the task of address resolution in U nmanned A erial V ehicle …