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M. Martínez

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#artificial intelligence Preprint Sep 2026

Stress-testing Alignment Midtraining

There is not enough public evidence for us to confidently state that midtraining can address the core difficulties inherent in aligning powerful AI systems, and it is believed that demonstrations must be present either in midtraining or post-training datasets for these rules to be robustly learned.

Sid Baines, Jonathan Bostock, M. Martínez et al. · 1 citation
Preprint Jul 2026

Code Monitor Red Teaming for Public-Test-Passing Code

This work introduces Code Monitor Red Teaming, a monitor-red-teaming protocol that fixes a public-check information boundary while varying generator pressure, verifier scaffolding, and weak-to-strong capability.

Jun-Hui Liao, Jiawen Deng, Fuji Ren et al. · 0 citations

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