EVM-QuestBench: Setting a New Standard for Transaction Script Safety

As the use of large language models becomes more prevalent in development scenarios, a glaring oversight remains, execution accuracy, especially in blockchain transactions. Even the slightest error in these transactions can lead to irreversible loss for users. This is where EVM-QuestBench steps in, offering a much-needed benchmark that grounds evaluation in execution accuracy for natural-language transaction-script generation on EVM-compatible chains.

The Problem With Current Evaluations

What the English-language press missed: Existing evaluations often miss the mark by not prioritizing execution accuracy and safety. Traditional benchmarks tend to overlook these critical aspects, leaving developers and users in vulnerable positions. EVM-QuestBench, however, changes the game by employing a dynamic evaluation method.

EVM-QuestBench consists of 107 tasks, divided into 62 atomic and 45 composite tasks. This modular architecture allows for rapid development of tasks, ensuring that developers can adapt quickly to new challenges. But it's the dynamic testing approach that truly sets this benchmark apart, as instructions are sampled from template pools with numeric parameters drawn from predefined intervals. This isn't just another benchmark. it's a comprehensive evaluation framework.

A Closer Look at the Methods

The benchmark introduces validators to verify outcomes against these instantiated values, an aspect often missing in other evaluations. The runner executes scripts on a forked EVM chain with snapshot isolation, ensuring that execution is both safe and reliable. Composite tasks apply a step-efficiency decay, further emphasizing the benchmark's commitment to accuracy.

But why should developers care? The benchmark results speak for themselves. EVM-QuestBench evaluated 20 models, revealing significant performance gaps. Notably, there was a persistent asymmetry between single-action precision and multi-step workflow completion. This clearly indicates that while some models may excel in isolated tasks, they struggle with more complex, integrated workflows.

The Future of Transaction Safety

What does this mean for the future of blockchain transactions? EVM-QuestBench sets a new standard for ensuring safety and accuracy in transaction script execution. The benchmark's rigorous testing approach provides a layer of security that's been sorely lacking. For developers and users alike, this could be the difference between a secure transaction and a costly mistake.

Isn't it time the industry adopts such standards universally? With the stakes as high as they're in blockchain transactions, ignoring execution accuracy is no longer an option. EVM-QuestBench not only highlights these gaps but also offers a viable solution. The benchmark's modular and dynamic nature makes it a powerful tool for developers seeking to improve their systems.

The paper, published in Japanese, reveals a groundbreaking effort to bring safety to the forefront of transaction script evaluations. As more developers and firms recognize the importance of execution accuracy, EVM-QuestBench may well become the industry standard for ensuring transaction safety on EVM chains.