Using The Water Dragon and Reunion as case studies, this paper applies Serafini’s multimodal text analysis framework to compare the Chinese and English covers from three perspectives: perception, ...
The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their ...
In economics, ideas rarely fail because they are wrong. More often, they fail because they are badly introduced, poorly ...
Abstract: Retrieval-augmented generation (RAG) is used in natural language processing (NLP) to provide query-relevant information in enterprise documents to large language models (LLMs). Such ...
The final, formatted version of the article will be published soon. Socioeconomic crises can deeply affect personal narratives and community dynamics, sometimes leading to acute mental health ...
Abstract: Textual sentiment analysis remains a crucial task in natural language processing (NLP) that focuses on identifying sentiments towards specific entities within a t ext. Recently, large ...