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HORIZON Diagnoses LLM Agent Long-Horizon Failures
💡New benchmark exposes why top LLM agents fail on long tasks—key for agent devs.
⚡ 30-Second TL;DR
What Changed
Introduces cross-domain HORIZON benchmark for long-horizon agent tasks.
Why It Matters
Enables principled diagnosis and comparison of agent failures, accelerating reliable long-horizon AI development. Offers practical guidance for builders facing extended task breakdowns.
What To Do Next
Visit https://xwang2775.github.io/horizon-leaderboard/ to benchmark your LLM agent.
Who should care:Researchers & Academics
Key Points
- •Introduces cross-domain HORIZON benchmark for long-horizon agent tasks.
- •Evaluates GPT-5 variants and Claude on 3100+ trajectories across 4 domains.
- •Proposes trajectory-grounded LLM-as-a-Judge with human-validated agreement (κ=0.84).
- •Releases leaderboard website for community contributions.
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Original source: ArXiv AI ↗