5 papers
XMeCap: Meme Caption Generation with Sub-Image Adaptability
Yuyan Chen, Songzhou Yan, Zhihong Zhu +2
Humor, deeply rooted in societal meanings and cultural details, poses a unique challenge for machines. While advances have been made in natural language processing, real-world humo…
HOTVCOM: Generating Buzzworthy Comments for Videos
Yuyan Chen, Yiwen Qian, Songzhou Yan +6
In the era of social media video platforms, popular ``hot-comments'' play a crucial role in attracting user impressions of short-form videos, making them vital for marketing and br…
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
Yuyan Chen, Tianhao Yu, Yueze Li +4
The evaluation of the problem-solving capability under incomplete information scenarios of Large Language Models (LLMs) is increasingly important, encompassing capabilities such as…
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models
Yuyan Chen, Hao Wang, Songzhou Yan +4
Emotional intelligence in large language models (LLMs) is of great importance in Natural Language Processing. However, the previous research mainly focus on basic sentiment analysi…
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
Yuyan Chen, Chenwei Wu, Songzhou Yan +3
Teachers are important to imparting knowledge and guiding learners, and the role of large language models (LLMs) as potential educators is emerging as an important area of study. R…