大规模训练策略对齐的内容审核过滤器，让AI审核更贴合平台规则。
arXiv:2505.19766v4 Announce Type: replace Abstract: Large language models (LLMs) remain vulnerable to misalignment and jailbreaks, making external saf…
探讨SOAP、Muon等新型优化器如何突破LLM预训练规模瓶颈，13位作者揭示前沿缩放规律
arXiv:2607.20548v1 Announce Type: cross Abstract: Higher-order optimizers such as Muon and SOAP offer faster convergence than AdamW, but their computa…
提出RollArt解耦架构，实现大规模多任务Agentic RL训练，显著提升效率与扩展性。
arXiv:2512.22560v2 Announce Type: replace-cross Abstract: Agentic Reinforcement Learning (RL) trains LLMs through multi-turn interactions with environ…