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Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
Research areas

Explore all research areas

Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Projects

Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Publications

Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Resources
Shaping the future, together.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Student programs

Faculty programs

Participating in the academic research community through meaningful engagement with university faculty.
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Faculty programs

Conferences & events

Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
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Conferences & events

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Careers
Blog

Lior Shani

Lior Shani

Research Areas

Authored Publications

Google

Embedding-Aligned Language Models

Guy Tennenholtz

Yinlam Chow

Chih-wei Hsu

Lior Shani

Ethan Liang

Craig Boutilier

Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS-24), Vancouver (2024)

Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback

Paul Roit

Johan Ferret

Lior Shani

Roee Aharoni

Geoffrey Cideron

Robert Dadashi

Matthieu Geist

Sertan Girgin

Léonard Hussenot

Orgad Keller

Nikola Momchev

Sabela Ramos

Piotr Stanczyk

Nino Vieillard

Olivier Bachem

Gal Elidan

Avinatan Hassidim

Olivier Pietquin

Idan Szpektor

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (2023), 6252–6272

Reinforcement Learning with History Dependent Dynamic Contexts

Guy Tennenholtz

Nadav Merlis

Lior Shani

Martin Mladenov

Craig Boutilier

Proceedings of the 40th International Conference on Machine Learning (ICML 2023), Honolulu, Hawaii

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