AIBullisharXiv – CS AI · Apr 146/10
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TInR: Exploring Tool-Internalized Reasoning in Large Language Models
Researchers propose Tool-Internalized Reasoning (TInR), a framework that embeds tool knowledge directly into Large Language Models rather than relying on external tool documentation during reasoning. The TInR-U model uses a three-phase training pipeline combining knowledge alignment, supervised fine-tuning, and reinforcement learning to improve reasoning efficiency and performance across various tasks.