Papers with end-to-end multi-agent pipeline

1 papers
Scaling Unverifiable Rewards: A Case Study on Visual Insights (2026.findings-acl)

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Challenge: Existing methods to scale complex, open-ended tasks with unverifiable rewards are not scalable to multi-stage pipelines.
Approach: They propose a process-based refinement framework that scales inference across stages of a multi-agent pipeline, instead of refining a single output over time.
Outcome: The proposed framework scales inference across stages of a multi-agent pipeline, instead of refining a single output over time as in prior work.

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