3 papers
cs.CV2025
Towards Efficient VLMs: Information-Theoretic Driven Compression via Adaptive Structural Pruning
Zhaoqi Xu, Yingying Zhang, Jian Li +3
Recent advances in vision-language models (VLMs) have shown remarkable performance across multimodal tasks, yet their ever-growing scale poses severe challenges for deployment and…
cs.CL2025
Discerning minds or generic tutors? Evaluating instructional guidance capabilities in Socratic LLMs
Ying Liu, Can Li, Ting Zhang +4
The conversational capabilities of large language models hold significant promise for enabling scalable and interactive tutoring. While prior research has primarily examined their…
cs.CL2025
From Answers to Questions: EQGBench for Evaluating LLMs' Educational Question Generation
Chengliang Zhou, Mei Wang, Ting Zhang +3
Large Language Models (LLMs) have demonstrated remarkable capabilities in mathematical problem-solving. However, the transition from providing answers to generating high-quality ed…