Author

Guan-Zhe Hong

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#artificial intelligence Preprint Sep 2026

Learning Dynamics of Continual Learning: A Unified View of Data Attribution, Forgetting, and Plasticity Loss

Modern language models are likely to be updated throughout their lifetime rather than trained once and frozen. Each update therefore participates in a recurring cycle: decide which experience to learn from, understand what that update changes, and remain capable of learning from what comes next. We show that these chal...

Yi Ren, Wen-Long Deng, Guan-Zhe Hong et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Are Human-Aligned Models Models of Humans? A Turing-Test Gap in Preference Alignment

It is shown that preference alignment preserves the human response distribution only under a restrictive condition, and no consistent evidence that real human preferences satisfy it, and human-likeness is established as an explicit dimension of alignment rather than something assumed to follow from preference alignment...

Su-Qin Yuan, Runqi Lin, Mu-Yang Li et al. · 0 citations