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cs.AI2026
Mitigating Capability Degradation in LLM Self-Improvement via Representation Geometry Regularization
Jiaqi Tian, Ting Long
On-Policy Self-distillation is a self-improvement paradigm that enables large language models (LLMs) to improve their capabilities by leveraging the same model as both teacher and…
cs.AI2025★ 1 cited
Personalized Education with Ranking Alignment Recommendation
Haipeng Liu, Yuxuan Liu, Ting Long
Personalized question recommendation aims to guide individual students through questions to enhance their mastery of learning targets. Most previous methods model this task as a Ma…