Papers by Ruitao Feng

2 papers
Retrieval-Augmented Modular Prompt Tuning for Low-Resource Data-to-Text Generation (2024.lrec-main)

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Challenge: Data-to-text generation methods are often limited by data sparsity and lack of training data.
Approach: They propose a retrieval-augmented modular prompt tuning method that generates texts with few hallucinations from structured data inputs.
Outcome: The proposed method generates texts with few hallucinations and achieves state-of-the-art performance on a dataset for drone handover message generation.
ART: The Alternating Reading Task Corpus for Speech Entrainment and Imitation (2024.lrec-main)

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Challenge: The Alternating Reading Task (ART) Corpus is a collection of dyadic sentence readings for studying the entrainment and imitation behaviour in speech communication.
Approach: They propose to use dyadic sentence reading to study entrainment and imitation in speech communication.
Outcome: The proposed study includes three conditions and three subcorpora encompassing French-, Italian-, and Slovak-accented English.

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