Measuring Weak-to-Strong Legibility of Reasoning Models
Reasoning language models (RLMs) and the intermediate chains of thought they emit play an increasingly central role in multi-agent setups such as inter-model monitoring or distillation into smaller models. When agents at different capability tiers must cooperate, strong models need to produce traces digestible by weaker ones. We refer to this goal as "weak-to-strong legibility". Trustworthiness of large models depends in part on this legibility property. For safety oversight in particular, adoption of weak monitors may become a standard for reliability scaffolds on a healthy budget. Legibility requires that the shape of these decision-making traces takes some form accessible to weaker mon...
| Authors | Dani Roytburg, Shreya Sridhar, Daphne Ippolito |
|---|---|
| Primary category | cs.MA |
| Published | 20 March 2026 |
| Last updated at source | 2 June 2026 |
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