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Meaning preservation as an alternative metric Our research leveraged the Project Euphonia corpus, a repository of disordered speech encompassing over 1.2 million utterances from approximately 2,000...
Recent text-to-image generation (T2I) models, such as Stable Diffusion and Imagen, have made significant progress in generating high-resolution images based on text descriptions. However, many generated...
To evaluate the MISeD data, we compare with a dataset collected using the traditional WOZ approach. A “user” annotator was given the general context for a...
Would you be surprised to learn that growing wildfires are described by the same dynamical equations as snow falling and clumping together? Many systems that have...
Acknowledgements This work was made possible by the contributions of: Ankush Gupta, Nick Pezzotti, Pavel Khrushkov, Tobenna Peter Igwe, Kazuya Kawakami, Mateusz Malinowski, Jacob Kelly, Yan...
Large language models (LLMs) are becoming omnipresent tools for solving a wide range of problems. However, their effectiveness in handling diverse languages has been hampered by...
Every day, we encounter temporary challenges that can affect our abilities to respond to different situations. These challenges, known as situationally induced impairments and disabilities (SIIDs),...
This work is the work of many people from the Google Core Systems & Experiences team, Google Research and Google DeepMind. We would like to extend...
How summits in Seoul, France and beyond can galvanize international cooperation on frontier AI safety Last year, the UK Government hosted the first major global Summit...
Our approach to analyzing and mitigating future risks posed by advanced AI models Google DeepMind has consistently pushed the boundaries of AI, developing models that have...