When performing complex multi-step reasoning tasks, the ability of Large Language Models
(LLMs) to derive structured intermediate proof steps is important for ensuring that the models …

The widespread use of large language models has resulted in a multitude of tokenizers and
embedding spaces, making knowledge transfer in prompt discovery tasks difficult. In this …

Stylized image captioning (SIC) aims to generate captions with target style for images. The
biggest challenge is that the collection and annotation of stylized data are pretty difficult and …

When performing complex multi-step reasoning tasks, the ability of Large Language Models
(LLMs) to derive structured intermediate proof steps is important for ensuring that the models …

Stylized image captioning aims at generating captions that accurately describe the image
content while aligning with the desired style. In semi-supervised setting, existing methods …