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GPT-6之后，具身智能走向何方？诺因发布GLOW技术报告，给出机器人“一教就会”的答案
人类演示一次，机器人即可实现跨场景任务复用
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GEOALIGN: Geometric Rollout Curation for Robust LLM Reinforcement Learning
ICML 2026录用论文，针对LLM强化学习中的rollout采样提出几何优化方法，提升模型鲁棒性。
arXiv:2606.26917v1 Announce Type: cross Abstract: Online reinforcement learning is widely used to align large language models (LLMs) with reward signa…
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Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure
大模型遗忘新方法：几何视角减少数据泄露，训练后只需少量数据即可擦除特定知识。
arXiv:2605.01735v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly deployed in real-world systems, they must support…