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Google at CVPR 2023

Google Research AI blog

Barron Program Advisory Board includes: Cordelia Schmid , Richard Szeliski Panels History and Future of Artificial Intelligence and Computer Vision Panelists include: Chelsea Finn Scientific Discovery and the Environment Panelists include: Sara Beery Best Paper Award candidates MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient (..)

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Google at ICLR 2023

Google Research AI blog

Liu SMART: Sentences as Basic Units for Text Evaluation Reinald Kim Amplayo , Peter J. Zhao , Ji Ma , Yi Luan , Jianmo Ni , Jing Lu , Anton Bakalov , Kelvin Guu , Keith B. Dillon Calibrating Sequence Likelihood Improves Conditional Language Generation Yao Zhao , Misha Khalman , Rishabh Joshi , Shashi Narayan , Mohammad Saleh , Peter J.

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Google at EMNLP 2022

Google Research AI blog

Martins Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing Linlu Qiu*, Peter Shaw , Panupong Pasupat , Tianze Shi , Jonathan Herzig , Emily Pitler , Fei Sha , Kristina Toutanova MasakhaNER 2.0: Zhao , Yi Luan , Keith B.

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Google at ICML 2023

Google Research AI blog

Cohen Scalable Adaptive Computation for Iterative Generation Allan Jabri *, David J.

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Stanford AI Lab Papers and Talks at NeurIPS 2021

Stanford AI Lab Blog

Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon Anderson, Stephan Eismann, Risi Kondor, Russ B. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Altman, Ron O. We hope you’ll check them out!

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How to Improve User Experience (and Behavior): Three Papers from Stanford's Alexa Prize Team

Stanford AI Lab Blog

In our previous post , we discussed the technical structure of our socialbot and how developers can use our open-source code to develop their own. These models perform well when evaluated by crowdworkers in carefully-controlled settings–typically written conversations with certain topical or length constraints.

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Google at CHI 2023

Google Research AI blog

Diana Freed , Natalie N.

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