Fantastic Adaptive Taxonomies and How to Use Them
An agent system's execution traces record how it fails, and procedures that improve such a system without changing model weights (trajectory selection, prompt and workflow optimization, runtime monitoring) read these traces for feedback. Yet raw traces are a poor medium for accumulating that feedback: long, instance-specific, and lacking a stable vocabulary for recurring failures. We argue that an agent system should instead maintain an explicit representation of how it fails, induced from its own behavior and reusable wherever failure feedback is needed. AdaMAST builds this representation by converting a target system's traces into a compact, evidence-grounded failure taxonomy: named fai...
| Authors | Mert Cemri, Andrei Cojocaru, Melissa Pan et al. |
|---|---|
| Primary category | cs.SE |
| Published | 17 July 2026 |
| Last updated at source | 29 July 2026 |
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