๐ LLM
AI generated
Chain-of-Legal-Thought Evaluation for Patent Description
# Introduction
Patent descriptions are a crucial element for protecting inventions.
However, the specific legal standards that must be met can be complex and difficult to evaluate.
The Pat-DEVAL team has presented a new evaluation framework for patent descriptions called Chain-of-Legal-Thought Evaluation.
## How Pat-DEVAL works
Pat-DEVAL uses large language models to evaluate the structural coherence and statutory compliance of patent descriptions.
This approach introduces a technique called Chain-of-Legal-Thought (CoLT), which provides a connected reasoning mechanism for analyzing patent descriptions.
## Experiment results
Experiments have shown that Pat-DEVAL outperforms baseline metrics and existing LLM evaluators, achieving a correlation of 0.73 in Legal-Professional Compliance.
This result is significant, as it demonstrates that the framework can capture statutory compliance with a high degree of accuracy.
## Implications for industry
The success of Pat-DEVAL has important implications for the patent industry.
With a more precise and reliable evaluation framework, developers can create automated drafting systems that meet legal standards with a high degree of accuracy.
๐ฌ Commenti (0)
๐ Accedi o registrati per commentare gli articoli.
Nessun commento ancora. Sii il primo a commentare!