Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents
LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear. We study this problem through Vibe Patenting, an end-to-end patent-drafting testbed for AI-agent evaluation. A separately-invoked LLM judge evaluates generated patent drafts and provides structured feedback for iterative revision. Across multiple inventions and drafting-agent configurations, judge-guided revision consistently improves judge-assessed quality, while unguided revision tends to saturate. Notably, iterative judge feedback enables a low-reasoning agent to approach the performance of a substantially more expensive high-reasoning agen...
| Authors | Toshiaki Koike-Akino, Vladislav Blaykhman, Ye Wang et al. |
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| Primary category | cs.AI |
| Published | 11 September 2026 |
| Last updated at source | 24 September 2026 |
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