Topic: training data generation

  • Tencent's R-Zero: Self-Training LLMs Without Data Labeling

    Tencent's R-Zero: Self-Training LLMs Without Data Labeling

    Researchers have introduced R-Zero, a reinforcement learning framework that enables large language models to autonomously improve their reasoning by generating their own training data through interaction between a Challenger and Solver model. The method eliminates the need for human-labeled data,...

    Read More »