The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems Break

1. 1Read the HORIZON benchmark paper to understand its methodology and evaluation metrics
2. 2Apply the HORIZON benchmark to your own agentic system to identify potential weaknesses
3. 3Analyze the results to diagnose where and why your system breaks on long-horizon tasks
4. 4Use the insights gained to modify and improve your system's architecture and training data
5. 5Test and evaluate your modified system using the HORIZON benchmark to measure performance improvements

AI researchers and engineers working on agentic systems can benefit from this knowledge to improve their systems' performance on long-horizon tasks

💡 Agentic systems often break down on long-horizon tasks due to poorly characterized failures, but the HORIZON benchmark can help diagnose and improve performance

🤖 Diagnose long-horizon task failures in agentic systems with HORIZON benchmark! 📊