most citedSimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

2 citations · 3 across the 3 of their papers we have counts for

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cs.LG2025★ 1 cited

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Zhenghai Xue, Longtao Zheng, Qian Liu +4

Large Language Models (LLMs) can significantly improve their reasoning capabilities by interacting with external tools, a paradigm known as Tool-Integrated Reasoning (TIR). However…

cs.LG2025★ 2 cited

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Weihao Zeng, Yuzhen Huang, Qian Liu +4

DeepSeek-R1 has shown that long chain-of-thought (CoT) reasoning can naturally emerge through a simple reinforcement learning (RL) framework with rule-based rewards, where the trai…