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cs.LG2026
Theoretical Foundations of Scaling Law in Familial Models
Huan Song, Qingfei Zhao, Ting Long +4
Neural scaling laws have become foundational for optimizing large language model (LLM) training, yet they typically assume a single dense model output. This limitation effectively…
cs.LG2025
Constructing a Question-Answering Simulator through the Distillation of LLMs
Haipeng Liu, Ting Long, Jing Fu
The question-answering (QA) simulator is a model that mimics real student learning behaviors and predicts their correctness of their responses to questions. QA simulators enable ed…