most citedZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

TransMeme: A Multi-Agent Framework for Cross-Cultural Meme Transcreation

Jingyi Zheng, Yule Liu, Zifan Peng +4

Internet memes are a pervasive form of multimodal online communication; however, such communication often involves users from diverse linguistic and cultural backgrounds. Therefore…

cs.CL2025★ 1 cited

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities

Wenhan Dong, Zhen Sun, Yuemeng Zhao +9

Large language models (LLMs) have demonstrated potential in educational applications, yet their capacity to accurately assess the cognitive alignment of reading materials with stud…

cs.CL2025

Evaluation Hallucination in Multi-Round Incomplete Information Lateral-Driven Reasoning Tasks

Wenhan Dong, Tianyi Hu, Jingyi Zheng +5

Multi-round incomplete information tasks are crucial for evaluating the lateral thinking capabilities of large language models (LLMs). Currently, research primarily relies on multi…

cs.CV2025

"I Can See Forever!": Evaluating Real-time VideoLLMs for Assisting Individuals with Visual Impairments

Ziyi Zhang, Zhen Sun, Zongmin Zhang +6

The visually impaired population faces significant challenges in daily activities. While prior works employ vision language models for assistance, most focus on static content and…

cs.CY2025

Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent Applications

Wenhan Dong, Yuemeng Zhao, Zhen Sun +10

As large language models (LLMs) are increasingly used in human-centered tasks, assessing their psychological traits is crucial for understanding their social impact and ensuring tr…