2025
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch
EMNLP 2025
Training tool-augmented LLMs has emerged as a promising approach to enhancing language models’ capabilities for complex tasks. The current supervised fine-tuning paradigm relies on constructing extensive domain-specific datasets to train models. However, this approach often struggles to generalize e