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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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Stanford AI Lab Papers and Talks at NeurIPS 2021

Stanford AI Lab Blog

We’re excited to share all the work from SAIL that’s being presented at the main conference , at the Datasets and Benchmarks track and the various workshops , and you’ll find links to papers, videos and blogs below. Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon Anderson, Stephan Eismann, Risi Kondor, Russ B.

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Google at ICML 2023

Google Research AI blog

Sajjadi , Gaurav Aggarwal , Thomas Kipf , Deepak Pathak , Katerina Fragkiadaki> Algorithms for Bounding Contribution for Histogram Estimation Under User-Level Privacy Yuhan Liu *, Ananda Theertha Suresh , Wennan Zhu , Peter Kairouz , Marco Gruteser Bandit Online Linear Optimization with Hints and Queries Aditya Bhaskara , Ashok Cutkosky , Ravi Kumar (..)

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

Stanford AI Lab Blog

These models perform well when evaluated by crowdworkers in carefully-controlled settings–typically written conversations with certain topical or length constraints. In this work, we conduct a large-scale quantitative evaluation of response strategies against offensive users in-the-wild.

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Google at NeurIPS 2022

Google Research AI blog

Derrick Xin , Behrooz Ghorbani , Ankush Garg , Orhan Firat , Justin Gilmer Associating Objects and Their Effects in Video Through Coordination Games Erika Lu , Forrester Cole , Weidi Xie, Tali Dekel , William Freeman , Andrew Zisserman , Michael Rubinstein Increasing Confidence in Adversarial Robustness Evaluations Roland S.

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