Papers by Themos Stafylakis

2 papers
Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems (2024.findings-acl)

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Challenge: Creating effective task-oriented dialog systems is challenging due to the scarcity of training data.
Approach: They empirically evaluate eight DA methods that have shown promising results in task-oriented dialog systems and other NLP systems.
Outcome: The proposed methods have been successful in other NLP systems but not in the ToDSs.
A Simple Baseline for Knowledge-Based Visual Question Answering (2023.emnlp-main)

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Challenge: Recent studies emphasize the importance of incorporating both explicit and implicit knowledge to answer questions requiring external knowledge.
Approach: They propose a pipeline that incorporates both explicit and implicit knowledge . their method is training-free and does not require access to external databases or APIs .
Outcome: The proposed method achieves state-of-the-art accuracy on OK-VQA and A-OK-VQ datasets.

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