Author

Yifeng Liu

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#artificial intelligence Preprint Sep 2026

Drift-Constrained Optimization: Only Direction Matters in Fine-Tuning Instruct Models

Fine-tuning instruct models often improves target performance while inducing behavioral drift from the reference model, which can degrade existing capabilities. Rather than treating this drift as an uncontrolled consequence of optimization, we specify a behavioral drift budget before optimization and ask how to boost t...

Fei Yuan, Changjiang Gao, Yi-Le Tu et al. · 0 citations

#machine learning Preprint Aug 2026

Fast Weight Attention for Continual Learning

This framework separates temporal alignment, plasticity, forgetting, and bounded rehearsal in recurrent sequence models, together with numerically stable positive-decay renormalization, to remain competitive in language modeling and improve length extrapolation on variable-digit addition.

Yi-Fan Zhang, Steve Ta, Jasper Zhang et al. · 0 citations