Investigating public attitudes on social media is important in opinion mining systems. Stance detection aims to analyze the attitude of an opinionated text (e.g., favor, neutral, or against) toward a given target. Existing methods mainly address this problem from perspective fine-tuning. Recently, prompt-tuning has achieved success natural language processing tasks. However, conducting for stan...

The majority of current research in Automated Essay Scoring (AES) focuses on prompt-specific scoring either the overall quality an essay or with regards to certain traits. In real-world applications obtaining labelled data for a target prompt is often expensive unfeasible, requiring AES system be able perform well when predicting scores essays from unseen prompts. As result, some recent has bee...

Large pre-trained vision-language models like CLIP have shown great potential in learning representations that are transferable across a wide range of downstream tasks. Different from the traditional representation is based mostly on discretized labels, pre-training aligns images and texts common feature space, which allows zero-shot transfer to task via prompting, i.e., classification weights ...