Acknowledgements Special thanks to Michael Reneer for his critical contributions in setting up Parfait. Direct contributors to work on Parfait repositories include Galen Andrew, Isha
A simple but effective approach to improve long-context understanding Previous studies have mainly explored two major directions: input reduction and window extension. Input reduction reduces
In recent years, machine learning has enabled tremendous advances in urban planning and traffic management. However, as transportation systems become increasingly complex, due to factors
Modern artificial intelligence (AI) systems rely on input from people. Human feedback helps train models to perform useful tasks, guides them toward safe and responsible
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User study design We introduce a comprehensive protocol focused on key VST use cases to holistically assess visually-induced discomfort and cybersickness in VST HMDs. We
Once again, the leadership in Eritrea is flexing its ‘stupid’ muscle. Trying its best to garner the silver medal in the ‘worst regimes of Africa’
Acknowledgements The authors would like to thank Dzmitry Huba, Hubert Eichner, Kallista Bonawitz, Mark Simborg, Peter Kairouz, Prem Eruvbetine, Sarah de Haas for their extensive
Despite having nearly 80 years of work completely wiped out by the civil war and the rise of Islamic fundamentalism within Somalia over the last
A two-agent architecture for enhanced reasoning Our work addresses this challenge with a novel approach based on the interplay of two LLM-driven agents, which has
In a much anticipated vote, the Somali government is officially headed to Mogadishu. When? Who knows. But it’s another step in the right direction, and
Due to challenges in generating text while maintaining DP and computational efficiency, prior work focused on generating a small amount of data points (privacy budget
Yet another close call for the Somali President Yusuf. After numerous attempt in Baidoa over the last year, including one with car bombs that killed
Acknowledgements The research described here is joint work across Google Research, Google Health, Google DeepMind, and partnering teams, including Consumer Health Research, Personal Safety, quality,
