Author

A. Harrington

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#artificial intelligence Preprint Oct 2026

Judging the Judges: Confidence and Disagreement in Rubrics as Rewards

Rubrics as Rewards (RaR) extends reinforcement learning to non-verifiable domains by using an LLM judge to score responses against a structured rubric. Prior work has focused on improving the rubric or strengthening the single judge, with comparatively little attention to how different single or multiple judges might b...

Michael Tian-Yue Liu, A. Harrington, Trevor Darrell et al. · 0 citations

Preprint Jul 2026

When Does Continual Learning Require Learning

The results suggest that continual learning is not a single capability: different patterns of environmental change require fundamentally different update behaviors, determining when adaptation must be learned inside model weights and when it can be achieved through external scaffolding.

A. Harrington, Nayan Saxena, Michael Murphy et al. · 2 citations · ⚡1