ReCall is a tool that enhances the reasoning capabilities of language models through reinforcement learning.
ReCall is an innovative method designed to enhance the logical reasoning capabilities of large language models (LLMs) by invoking tools and integrating reinforcement learning techniques. This tool enables the model to learn more effective solutions through interaction with external tools when solving complex problems.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"datePublished": "2025-12-05T17:13:35.495578+00:00",
"dateModified": "2025-12-19T05:08:11.098996+00:00",
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"text": "Natural Language Processing Research, Complex Problem Solving, Automated Decision Support"
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"name": "What are the advantages of ReCall?",
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"text": "提高语言模型的推理能力, 支持多种LLMs, 开源且社区活跃"
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"name": "What are the limitations of ReCall?",
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"text": "需要较强的计算资源, 实现难度较高"
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