Propagating reasoning states lets outcome labels improve process rewards

The proposed model tracks when reasoning becomes invalid or recovers, allowing final-answer labels to help train step-level evaluations.

Academic
Kai Gan · Zi-Hao Zhou · Bo Ye · Jian Zhao · Min-Ling Zhang · Tong Wei

Southeast University · Key Laboratory of Computer Network and Information Integration (Southeast University) · Ministry of Education, China · Zhongguancun Academy · Zhongguancun Institute of Artificial Intelligence

Research Digest··3 min read
Gan and colleagues introduce Reasoning State Propagation (RSP), a process reward model that explicitly connects the validity of successive steps in a reasoning trajectory.

The authors represent every reasoning prefix with a binary latent state: valid, meaning the current derivation contains no unresolved error, or invalid.

Why this paper

From Ministry of Education, China and 4 others

In one line

Reasoning State Propagation propagates binary validity states through break and repair probabilities, combining process and outcome supervision.

What we could check

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Research Digest

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