ToolRL: Reward is All Tool Learning Needs by Cheng Qian, @emrecanacikgoz.bsky.social, Qi He, Hongru Wang, Xiusi Chen, @dilekh.bsky.social, @gokhantur.bsky.social, Heng Ji
Read more here: arxiv.org/abs/2504.13958, x.com/emrecanacikg...
Current Large Language Models (LLMs) often undergo supervised fine-tuning (SFT) to acquire tool use capabilities. However, SFT struggles to generalize to unfamiliar or complex tool use scenarios. Rece...
