Author

Yutao Yue

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#artificial intelligence Jun 2026

When New Generators Arrive: Lifelong Machine-Generated Text Attribution via Ridge Feature Transfer

RidgeFT is proposed, a lightweight analytic update framework that does not rely on exemplar replay and achieves the best overall macro-F1 across domains, backbones, and incremental protocols, while also improving both old-class retention and new-class adaptation.

Zhen Sun, Yifan Liao, Zhicong Huang et al. · arXiv.org · 3 citations

#artificial intelligence Apr 2026

ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding

ABLE (Attribution-Based Large-model Embedding), a framework that leverages the interpretability space to construct model representations by aggregating gradient-based feature attributions via a tokenizer-agnostic word-level alignment, captures model-specific input-sensitivity patterns rather than only surface-level out...

Zirui Wang, Yusen Hou, Shaofeng Liang et al. · arXiv.org · 0 citations