Artificial Hivemind: 🏆 Best Paper Award at NeurIPS 2025.
​Google Meet
​https://meet.google.com/xtj-mkvm-ych
​About the Speaker
​Liwei Jiang is a final-year Ph.D. candidate at the University of Washington's Paul G. Allen School of Computer Science & Engineering, advised by Prof. Yejin Choi. She is a graduate student researcher at NVIDIA and former student researcher at the Allen Institute for AI (Ai2).
​Her research on "Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)" received the 🏆 Best Paper Award at NeurIPS 2025.
​Research Focus
​Liwei's work centers on Humanistic, Pluralistic, and Coevolutionary AI Safety and Alignment—developing AI systems that:
​Anchor in interdisciplinary insights into human intelligence, values, and global needs
​Advance human knowledge and address sociotechnical challenges through robust, scalable innovations in data, learning algorithms, and AI system design
​Her contributions have spearheaded research on moral and pluralistic value reasoning of LLMs, utilizing multi-agent systems, reinforcement learning, and data synthesis approaches.
​Links