AI RESEARCH
Odysseys: Benchmarking Web Agents on Realistic Long Horizon Tasks
arXiv CS.LG
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ArXi:2604.24964v1 Announce Type: new Existing web agent benchmarks have largely converged on short, single-site tasks that frontier models are approaching saturation on. However, real world web use consists of long-horizon, multi-site workflows. Common web navigation tasks, such as comparing products across different domains, planning trips across multiple services, or summarizing information from multiple search queries, require sustained context and cross-site reasoning over potentially hours of browsing. To capture and evaluate such behaviors, we