Emergence WebVoyager: Toward Consistent and Transparent Evaluation of (Web) Agents in The Wild

1. 1Identify persistent shortcomings in existing AI agent evaluation practices
2. 2Develop a robust and transparent evaluation methodology
3. 3Apply the methodology to web agents, such as WebVoyager
4. 4Analyze results to improve task-framing and operational variability

AI researchers and engineers benefit from this study as it identifies shortcomings in existing evaluation practices and proposes a more robust and transparent methodology, which can inform their development and testing of AI agents

💡 Robust and transparent evaluation methodologies are crucial for reliable assessment of AI agents in complex environments

🤖 Improving AI agent evaluation in the wild with Emergence WebVoyager