InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling

ArXi:2508.08636v2 Announce Type: replace Large language models (LLMs) have revolutionized artificial intelligence by enabling complex reasoning capabilities. While recent advancements in reinforcement learning (RL) have primarily focused on domain-specific reasoning tasks (e.g., mathematics or code generation), real-world reasoning scenarios often require models to handle diverse and complex environments that narrow-domain benchmarks cannot fully capture.