Absolute Zero: Reinforced Self-play Reasoning with Zero Data

NeurIPSSpotlight2025

Authors
Andrew Zhao, Yiran Wu, Yang Yue, Tong Wu, Quentin Xu, Yang Yue, Matthieu Lin, Shenzhi Wang, Qingyun Wu, Zilong Zheng, Gao Huang
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Reinforcement learning with verifiable rewards (RLVR) has shown promise in enhancing the reasoning capabilities of large language models by learning directly from rule-based outcome rewards…

Opening excerpt from the authors’ abstract. source

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Topics

reinforcement learning large language model language model reasoning

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