Author

J. Kirchner

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#artificial intelligence Preprint Aug 2026

Automated Researchers Can Mitigate Well-characterized Alignment Failures

Using human ideas as the AARs' initial research direction does not improve performance, suggesting current AARs may not need guidance from experienced researchers, and suggests that automating alignment research on well-characterized failures may be practical in the near term.

Yueh-Han Chen, Jia-Xin Wen, J. Kirchner · 0 citations

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