新闻
MidTool: Mid-training Data Synthesis for Agentic Tool Use
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- MidTool is a data synthesis pipeline that improves language models' ability to use tools by adding specialized training data during mid-training, before final fine-tuning.
- 为何重要
- Matters for engineers building AI agents that call APIs or external tools, seeking better tool selection and argument grounding without extensive post-training.
- 注意
- Results shown only on Qwen3 small models; unclear how well this approach scales to larger models or transfers across different model architectures.
收听本摘要
- agent
- agentic
- language model
- reasoning
- tool use
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