Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling

Name: Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling
Uploaded: 2026-10-03T06:45:41.324959+00:00
Duration: 566 s
Description: The paper formalizes universal alignment for large language models using test-time scaling. It finds that a family of single-output policies achieves optimal asymptotic universal alignment at a rate of k/(k+1). This result is characterized by the symmetric Nash equilibrium of specific (k+1)-player games, showing how to improve alignment guarantees during deployment.

The paper formalizes universal alignment for large language models using test-time scaling. It finds that a family of single-output policies achieves optimal asymptotic universal alignment at a rate of k/(k+1). This result is characterized by the symmetric Nash equilibrium of specific (k+1)-player games, showing how to improve alignment guarantees during deployment.

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