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Found 4 papers, 4 papers with code
Polos: Multimodal Metric Learning from Human Feedback for Image Captioning
Establishing an automatic evaluation metric that closely aligns with human judgments is essential for effectively developing image captioning models.
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.
JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models
Image captioning studies heavily rely on automatic evaluation metrics such as BLEU and METEOR.
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