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OpenEQA: Embodied Question Answering in the Era of Foundation Models

OpenEQA: Embodied Question Answering in the Era of Foundation Models

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AEO Score: 4/10

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In the Engagemii AEO index

open-eqa.github.io

About OpenEQA: Embodied Question Answering in the Era of Foundation Models

Anurag Ajay*, Xiaohan Zhang*, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul Mcvay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Sasha Sax, Aravind Rajeswaran Work done at Fundamental AI Research (FAIR), Meta.

Key Topics

OpenEQA: Embodied Question Answering in the Era of Foundation Models

Details

Category: Technology

open-eqa.github.io

AI Visibility Breakdown

1

Structured Data

6

Content Structure

4

Entity Clarity

4

E-E-A-T Signals

5

Technical AEO

4

AI Discoverability

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Source & Attribution

Scored by Engagemii on May 29, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/open-eqa-github-io

Cite this score: Engagemii (2026). "AEO Score for OpenEQA: Embodied Question Answering in the Era of Foundation Models." Retrieved from https://engagemii.com/aeo/brands/open-eqa-github-io

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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