评分 7 · 来源：cs.AI updates on arXiv.org · 发布于 2026-04-14
评分依据：Tool internalization addresses key pain point in tool-using LLMs: documentation dependency, size constraints, inference inefficiency. Highly relevant to current agent tool-use research.
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
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学术前沿 7.0 分
— Tool internalization addresses key pain point in tool-using LLMs: documentation dependency, size constraints, inference inefficiency. Highly relevant to current agent tool-use research.