Papers by Yawei Fan

2 papers
Probing Multi-modal Machine Translation with Pre-trained Language Model (2021.findings-acl)

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Challenge: Multi-modal machine translation (MMT) aimed at using images to help disambiguate the target during translation but recent studies showed that visual features are either negligible or incremental.
Approach: They propose to incorporate a visual language model on the source side to improve multi-modal translation quality significantly.
Outcome: The proposed model improves the translation quality significantly on the multi-modal dataset.
LCDS: A Logic-Controlled Discharge Summary Generation System Supporting Source Attribution and Expert Review (2025.acl-demo)

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Challenge: Large language models (LLMs) are capable of generating inaccurate discharge summary content or fabricating information without valid sources.
Approach: They propose a tool for empowering LLMs with Logic-Controlled Discharge Summary generation.
Outcome: The proposed tool identifies the writing logic of discharge summaries and integrates it with EMRs to generate silver discharge summararies.

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