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Found 2 papers, 2 papers with code
Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine
Therefore, we focus on the task of retrieving target objects from open-vocabulary user instructions in a human-in-the-loop setting, which we define as the learning-to-rank physical objects (LTRPO) task.
DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training
This paper focuses on the DialFRED task, which is the task of embodied instruction following in a setting where an agent can actively ask questions about the task.
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