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#natural language process... Preprint Oct 2026

Stabilizing language models under continual learning via condition-anchored distillation

Continual adaptation of language models can change their output distribution on prompts learned earlier, while retaining every old prompt-answer pair may be undesirable or impossible. We study condition-anchored generative distillation (CAGD): retain a small set of old prompts, use a frozen previous model to reconstruc...

Huan Li, Zhe Cao, Qi Xie et al. · 0 citations
#federated learning Open access Sep 2026

FedPath-MTL: A Federated Multi-Task Framework for Personalized Learning Pathways with Real-Record Predictive Evaluation

Personalized learning pathways are difficult to support in distributed educational systems because learner records cannot always be centralized and one shared federated predictor may not represent heterogeneity across institutions, learning tasks, and individual learners. We propose FedPath-MTL, a federated multi-task...

Jun-Jun Liu, Huan Li, Le-Hua Jia et al. · 0 citations

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