arXiv
Open Access
2025
Superalignment with Dynamic Human Values
Florian Mai
David Kaczér
Nicholas Kluge Corrêa
Lucie Flek
Abstrak
Two core challenges of alignment are 1) scalable oversight and 2) accounting for the dynamic nature of human values. While solutions like recursive reward modeling address 1), they do not simultaneously account for 2). We sketch a roadmap for a novel algorithmic framework that trains a superhuman reasoning model to decompose complex tasks into subtasks that are still amenable to human-level guidance. Our approach relies on what we call the part-to-complete generalization hypothesis, which states that the alignment of subtask solutions generalizes to the alignment of complete solutions. We advocate for the need to measure this generalization and propose ways to improve it in the future.
Topik & Kata Kunci
Penulis (4)
F
Florian Mai
D
David Kaczér
N
Nicholas Kluge Corrêa
L
Lucie Flek
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2025
- Bahasa
- en
- Sumber Database
- arXiv
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- Open Access ✓