Author

Shi Feng

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#artificial intelligence Jan 2026

Self-Improvement as Coherence Optimization: A Theoretical Account

It is proved that coherence optimization is equivalent to description-length regularization, and that among all such regularization schemes, coherence regularization with a prior derived from a pretrained model optimizes a lower bound of worst-case accuracy for semi-supervised learning.

Tianyi Alex Qiu, A. Ismail, Zhonghao He et al. · Trans. Mach. Learn. Res. · 1 citation

#artificial intelligence Preprint Jul 2026

Self-Generated Text Recognition: Quality Heuristics, Cross-Task Transfer, and Downstream Bias in LLM Evaluation

Evaluating 13-21 models across six presentation operationalizations and four task-domain operationalizations suggests that, despite confounds, some models possess practical SGTR capabilities, and that SGTR should be monitored and considered in the design of safety-critical AI applications.

J. St-Amand, Callum Canavan, S. Imran et al. · 0 citations