面对复杂环境导致LLM智能体策略偏差，TAPO用过渡感知优化解锁长程决策新范式，实验提升显著。
arXiv:2607.27973v1 Announce Type: new Abstract: Recently, Reinforcement Learning (RL) has emerged as a crucial paradigm for the post-training of Large…
新方法STAPO：选择性轨迹感知策略优化，提升LLM智能体训练效率与性能
arXiv:2607.04963v1 Announce Type: new Abstract: Reinforcement Learning (RL) is the dominant paradigm for training Large Language Model (LLM) agents on…
每月3美元一键部署，30秒获取HTTPS实例，2026年自托管Memos的最省钱方案。
Last updated: June 2026 Memos is the lightweight, open-source notes app a lot of people land on after getting tired of flomo, Google Keep, or a paid N…
一种名为STAPO的新方法通过静默罕见虚假token来稳定LLM的强化学习训练，显著提升模型输出质量与收敛效率。
arXiv:2602.15620v5 Announce Type: replace-cross Abstract: Reinforcement Learning (RL) has significantly improved large language model reasoning, but e…