Socratic-Zero uses agents to generate reasoning curricula
Published on October 28, 2025, the paper presents a method for generating reasoning data without human labels and reports results across seven mathematical reasoning benchmarks.
Source: Socratic-Zero coevolui agentes para gerar dados de raciocínio (arxiv.org). Text prepared with AI from this source.
What happened and what to do
Published on October 28, 2025, the paper describes Socratic-Zero, which uses Teacher, Solver, and Generator agents to create reasoning data from 100 initial questions. The publication reports that Socratic-Solver-8B outperforms earlier data-synthesis methods by 20.2 points across seven mathematical reasoning benchmarks. The approach generates reasoning curricula without human-labeled data.
A company training or evaluating models could implement a pipeline to organize questions, generate synthetic examples, and track their quality on internal evaluations. The work could also include controls to review generated data and compare results across versions, without assuming that the reported performance automatically carries over to other settings.
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Wendelmaques can diagnose the opportunity and data and evaluation requirements, define a scope, and implement and operate a synthetic-data generation and monitoring pipeline for the company’s use case.
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