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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL20251 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.AI2025

GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contracts

Jingyi Zheng, Zifan Peng, Yule Liu +4

Smart contracts are trustworthy, immutable, and automatically executed programs on the blockchain. Their execution requires the Gas mechanism to ensure efficiency and fairness. How…

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…

cs.CL2025

Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models

Yule Liu, Jingyi Zheng, Zhen Sun +6

Recent advancements in large reasoning models (LRMs) have demonstrated the effectiveness of scaling test-time computation to enhance reasoning capabilities on various tasks. Howeve…