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ByteDance Seed: VAPO length-adaptive value-based reasoning training

Contribution grade

Value-based reinforcement-learning systems · Human-designed research method or resource

Reference score65,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Introduced response-length-adaptive advantage estimation within a value-based long-reasoning training framework, integrating value pretraining, decoupled estimators, clipping and positive-example learning.

Scientific scope

Introduced response-length-adaptive advantage estimation within a value-based long-reasoning training framework, integrating value pretraining, decoupled estimators, clipping and positive-example learning. Clip-Higher/token losses are inherited from DAPO, value pretraining/decoupled GAE from VC-PPO and sampling/self-imitation from earlier work. The specific length adaptation/integration is acquired, not invention of PPO or a universal stability theorem.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Clip-Higher/token losses are inherited from DAPO, value pretraining/decoupled GAE from VC-PPO and sampling/self-imitation from earlier work. The specific length adaptation/integration is acquired, not invention of PPO or a universal stability theorem.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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