2 papers
cs.NE2026
Relation Reasoning with LLMs in Expensive Optimization
Ye Lu, Bingdong Li, Aimin Zhou +1
Expensive optimization problems (EOPs) are black-box tasks with costly objective evaluations and no gradient access, making the evaluation budget the key bottleneck. Surrogate-assi…
cs.LG2025
Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning
Siyu Song, Wentao Liu, Ye Lu +8
The integration of large language models (LLMs) into education presents unprecedented opportunities for scalable personalized learning. However, standard LLMs often function as gen…