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OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning

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Outcome-supervised value models for mathematical reasoning planning

FreeFree tier
Type
Open Source

About OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning

OVM (Outcome-supervised Value Models) is a research model for planning in mathematical reasoning tasks. It uses outcome supervision to train value functions that evaluate the correctness of intermediate reasoning steps, enabling more effective search and planning during problem solving. The model is described in the paper 'OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning' and is available as open-source software.

Key Features

Outcome-supervised value function training
Step-by-step reasoning evaluation and planning
Search-guided reasoning in mathematical problems
Open-source research implementation

Best For

Mathematical problem solving with step-level verificationPlanning and search in multi-step reasoning tasksResearch on value-based reasoning optimization