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cs.LG2026
Introspecting Alignment Shifts Beyond Behaviors Implanted Through Fine-Tuning
Kotaro Yoshida, Laura Gomezjurado Gonzalez, Yukinori Yamamoto +3
Fine-tuning enables a source model to acquire desired capabilities and behaviors in a target domain while retaining much of its general-purpose competence. However, this adaptation…
cs.LG2026
Generalization Measures under Controlled Covariate Shift: A Regime-Aware Benchmark
Sora Nakai, Youssef Fadhloun, Kacem Mathlouthi +4
Predicting generalization from quantities available before target-test evaluation remains a central challenge in deep learning. The systematic benchmark of Jiang et al. (2020) eval…