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GTA: Generating Long-Horizon Tasks for Web Agents at Scale

arXiv cs.AI · 2026-05-29 Cached

This paper introduces GTA, a scalable framework for automatically generating long-horizon, multi-hop web agent tasks with executable trajectories, addressing the lack of process-level supervision in web agent benchmarks. The framework integrates crawling, retrieval-based seeding, and automated quality control to produce realistic tasks across multiple websites.

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