Financial Sentiment Analysis (FSA) is an important domain application of sentiment analysis
that has gained increasing attention in the past decade. FSA research falls into two main …

Selecting profitable stocks for investments is a challenging task. Recent research has made
significant progress on stock ranking prediction to select top-ranked stocks for portfolio …

With the rise of foundation models, a new artificial intelligence paradigm has emerged, by
simply using general purpose foundation models with prompting to solve problems instead …

Sentiment analysis is a task that highly depends on the understanding of word senses.
Traditional neural network models are black boxes that represent word senses as vectors …

Multimodal fusion has the potential to significantly enhance model performance in the
domain of Emotion Recognition in Conversations (ERC) by efficiently integrating information …

Large Language Models (LLMs) have become valuable assets in mental health, showing
promise in both classification tasks and counseling applications. This paper offers a …

ChatGPT has stunned the world with its ability to generate detailed, original, and accurate
responses to prompts. While it unlocked solutions to problems that were previously …

Prompt Engineering has garnered significant attention for enhancing the performance of
large language models across a multitude of tasks. Techniques such as the Chain-of …

As the order of the utterances in a conversation changes, the meaning of the utterance also
changes, and sometimes, this will cause different semantics or emotions. However, the …

The neural-based interactive dialogue system focuses on engaging and retaining humans in
long-lasting conversations. This has been explored for a variety of goal-oriented dialogue …