Search Results for author: Deniz Arsan

Found 2 papers, 2 papers with code

A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility

1 code implementation4 Feb 2022 Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer

To study VLN with unknown command feasibility, we introduce a new dataset Mobile app Tasks with Iterative Feedback (MoTIF), where the goal is to complete a natural language command in a mobile app.

Common Sense Reasoning Question Answering +1

Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments

1 code implementation17 Apr 2021 Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer

In recent years, vision-language research has shifted to study tasks which require more complex reasoning, such as interactive question answering, visual common sense reasoning, and question-answer plausibility prediction.

Common Sense Reasoning Question Answering

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