3 papers
cs.AI2025
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory
Wei Song, Zhenya Huang, Cheng Cheng +5
Large language models (LLMs) have demonstrated exceptional performance across a wide range of natural language tasks. However, selecting the optimal LLM to respond to a user query…
cs.AI2025
CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective
Jiayu Liu, Zhenya Huang, Wei Dai +7
Although large language models (LLMs) show promise in solving complex mathematical tasks, existing evaluation paradigms rely solely on a coarse measure of overall answer accuracy,…
cs.CL2025
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation
Cheng Cheng, Zhenya Huang, Guanhao Zhao +5
Automatically generating high-quality mathematical problems that align with educational objectives is a crucial task in NLP-based educational technology. Traditional generation met…