Papers by Joyce Zheng

2 papers
Dynamic Position Encoding for Transformers (2022.coling-1)

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Challenge: In neural machine translation, the general task of translating is to reduce the input sentence into smaller units (also known as statistical phrases), select an optimal translation for each unit, and place them in the correct order.
Approach: They propose a novel architecture that relies on a feed-forward backbone and self-attention mechanism to encode sequential/positional information.
Outcome: The proposed architecture improves on multiple datasets in French, Italian, and German and shows that it is more efficient than the current model.
Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake? (2023.findings-emnlp)

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Challenge: despite advances in AI, it remains a challenge to develop interactive task guidance systems that can offer situated, personalized guidance and assist humans in various tasks.
Approach: They propose to use a multimodal benchmark dataset to study whether interactive task guidance systems can be quickly adapted to perceptually enabled tasks.
Outcome: The proposed models demonstrate fair performances in some cases with no training . the results will provide a stepping stone for future work on situated task guidance .

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