独揽 IJCAI 2026 两大 Tutorial！清华王鑫团队如何用「OOD泛化」夺取生成式 AI 的国际定义权？
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TL;DR - Tsinghua researchers will present two IJCAI 2026 tutorials on improving AI robustness under distribution shifts. The tutorials connect OOD generalization with graph learning, multimodal models, diffusion systems, and post-training.
- T9 combines Graph LLMs with continual learning, architecture search, causality, and invariance.
- T11 examines OOD robustness in multimodal language models and diffusion-based visual generation.
- Both tutorials emphasize reliable adaptation to unseen data and scenarios rather than IID benchmark fitting.
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独揽 IJCAI 2026 两大 Tutorial！清华王鑫团队如何用「OOD泛化」夺取生成式 AI 的国际定义权？
Public signals
N/A
TL;DR - Tsinghua researchers will present two IJCAI 2026 tutorials on improving AI robustness under distribution shifts. The tutorials connect OOD generalization with graph learning, multimodal models, diffusion systems, and post-training.
- T9 combines Graph LLMs with continual learning, architecture search, causality, and invariance.
- T11 examines OOD robustness in multimodal language models and diffusion-based visual generation.
- Both tutorials emphasize reliable adaptation to unseen data and scenarios rather than IID benchmark fitting.