Author

S. Schmidgall

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Review Aug 2026

Accelerating Scientific Research with Gemini in the Real-World

An extension and comprehensive real-world validation of Co-Scientist, a Gemini-based multi-agent system designed to accelerate end-to-end scientific research across hypothesis generation, experimentation, and manuscript generation, demonstrates progress toward closed-loop multi-agent scientific AI systems capable of ac...

Samuel Schmidgall, Xiao-Kai Zhu, Marian Shaw et al. · 2 citations

Review Aug 2026

MatrAIx: Simulating the World with 8.3 Billion Persona Agents

MatrAIx is introduced, a population-scale simulated-user evaluation infrastructure for testing AI systems and digital products with heterogeneous users and provides an end-to-end infrastructure for evaluating AI systems and digital products with diverse simulated human users.

Xiaomin Li, Yuexing Hao, Jian Hou et al. · 1 citation

Open access Jul 2026

Capable language models can outgrow the benefits of collaboration

A controlled study of large language model agents across 260 configurations shows when multi-agent collaboration helps or hurts performance, and introduces a predictive model that selects the best architecture in 87% of held-out within-domain configurations.

Y. Kim, Ken Gu, Chanwoo Park et al. · Nature Machine Intelligence · 6 citations