most citedEmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

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…

cs.CL2024

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…

cs.CL2024★ 5 cited

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…

cs.AI2024★ 4 cited

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…

cs.CV2024

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…