Scaling Verifiable Environments for Long-horizon Work Agents
To bridge this gap, we introduce WorkForge, a scalable synthesis framework for constructing verifiable work-agent environments from real-world resources.
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Key points
- Work agents operate over digital artifacts to execute professional knowledge-intensive work, requiring training environments that support long-horizon interaction and trustworthy verification.
- However, hand-crafted environments incur prohibitive engineering overhead that prevents environment scaling, whereas synthesis methods sacrifice workspace complexity, realism, or grounded verifiability.
- Furthermore, we construct 16.7K verifiable environments across 40 professional domains, with workspaces collectively covering 60 file types.
- Our analyses confirm the efficacy of the proposed method and reveal consistent scaling behaviors across both data volume and interaction horizons.
Sources (1)
- [1]Scaling Verifiable Environments for Long-horizon Work AgentsHugging Face Daily Papers · Oct 8, 12:00 AM
To bridge this gap, we introduce WorkForge, a scalable synthesis framework for constructing verifiable work-agent environments from real-world resources.
Work agents operate over digital artifacts to execute professional knowledge-intensive work, requiring training environments that support long-horizon interaction and trustworthy verification.
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