Shanghai AI Lab Releases OREAL-7B and OREAL-32B: Advancing Mathematical Reasoning with Outcome Reward-Based Reinforcement Learning

Mathematical reasoning remains a difficult area for artificial intelligence (AI) due to the complexity of problem-solving and the need for structured, logical thinking. While large language models (LLMs) have made significant progress, they often struggle with tasks that require multi-step reasoning. Reinforcement learning (RL) has shown promise in improving these capabilities, yet traditional methods face […]

The post Shanghai AI Lab Releases OREAL-7B and OREAL-32B: Advancing Mathematical Reasoning with Outcome Reward-Based Reinforcement Learning appeared first on MarkTechPost.

Source: https://www.marktechpost.com/2025/02/10/shanghai-ai-lab-releases-oreal-7b-and-oreal-32b-advancing-mathematical-reasoning-with-outcome-reward-based-reinforcement-learning/

Keywords: reasoning, reinforcement, learning, ai, mathematical

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