通义千问 Qwen

甩开视觉内卷

Few-step distillation has become an effective strategy for accelerating advanced visual generative models, yet prior work has largely focused on distillation objectives. In this work, we revisit few-s…

下一代CUA训练范式

AI 点评 · CUA训练范式直击Agent工具选择瓶颈，复旦与通义合作开辟新路径。

下一代CUA训练范式

AI 点评 · 解决Agent工具选择难题，复旦与通义提出全新训练思路，推动智能体实用化。

We show that LoRA adapters, the dominant distribution format for fine-tuned LLMs, can be reliably backdoored through training data poisoning while preserving baseline task performance. On a Qwen 2.5 1…

AI 点评 · 揭示LoRA微调模型的安全漏洞，提出首个令牌级后门检测方法，对防范AI供应链攻击意义重大。

Embodied intelligence is often studied through specialized models for individual tasks such as manipulation or navigation, resulting in fragmented capabilities and limited generalization across tasks,…

AI 点评 · 统一视觉语言与动作建模，突破单一任务限制，推动机器人跨场景泛化能力跃升。