DeepTool: Scaling Interleaved Deliberation in Tool-Integrated Reasoning via Process-Supervised Reinforcement Learning
arXiv:2605.29568v1 Announce Type: new Abstract: Tool-Integrated Reasoning (TIR) extends LLM capabilities by leveraging external environments. However, existing methods lack the deliberation during sequential tool invocation required for strategic planning and self-correction. While RL mitigates this, conventional approaches for Tool-Integrated Reasoning are hindered by sparse outcome-based rewards, failing to supervise intermediate reasoning steps and tool invocations. To address this, we propose DeepTool, a novel framework that scales deliberate thinking within the interleaved process of thin
The proliferation of Large Language Models (LLMs) and the increasing demand for autonomous agents necessitate more sophisticated methods for integrating tools and enhancing reasoning capabilities.
This development addresses a key limitation in current AI systems by enabling them to better plan, self-correct, and leverage external environments, moving closer to truly autonomous operations.
The DeepTool framework introduces process-supervised reinforcement learning to overcome the limitations of outcome-based rewards in Tool-Integrated Reasoning, potentially leading to more robust and capable AI agents.
- · AI agent developers
- · Robotics companies
- · SaaS providers leveraging AI
- · Consulting firms adopting AI workflows
- · Companies relying on simple, prompt-engineered LLM integrations
- · Human workers performing highly repetitive, rule-based digital tasks
More effective and reliable AI agents will emerge, capable of completing complex multi-step tasks across diverse applications.
The improved agent capabilities could accelerate the automation of numerous white-collar workflows, increasing demand for sophisticated AI tools.
Enhanced self-correction and strategic planning in AI could lead to new forms of human-AI collaboration that fundamentally change work paradigms and business models.
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Read at arXiv cs.AI