Papers by Zhenfeng He

2 papers
DialMed: A Dataset for Dialogue-based Medication Recommendation (2022.coling-1)

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Challenge: Existing studies on medication recommendation mainly rely on EHRs, but some details of interactions between doctors and patients may be ignored or omitted in EHR.
Approach: They propose to use medical dialogues to recommend medications with medical dialogue data . they propose to model dialogue structure and disease knowledge aware network .
Outcome: The proposed method is a promising solution to recommend medications with medical dialogues.
Position Paper: Data-Centric AI in the Age of Large Language Models (2024.findings-emnlp)

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Challenge: a paper proposes a data-centric perspective of AI research, focusing on large language models.
Approach: They propose a data-centric viewpoint of AI research, focusing on large language models . they propose four scenarios centered around data, including data curation, attribution, knowledge transfer .
Outcome: The proposed research focuses on large language models with data centric benchmarks . the proposed benchmarks can be used to develop new data curation methods .

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