Papers by Yinuo Jiang

2 papers
Causally Modeling the Linguistic and Social Factors that Predict Email Response (2025.naacl-long)

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Challenge: a key intent behind many emails is to get a reply from the recipient.
Approach: They propose to model the intents, expectations, and responsiveness in email exchanges by using a dataset containing 1800 emails annotated with nuanced types of intents and expectations.
Outcome: The proposed model is based on 1800 emails annotated with nuanced types of intents and expectations . it shows that social status, argumentation, and strength of social connection influence email response rates .
Enhancing Cross Text-Molecule Learning by Self-Augmentation (2024.findings-acl)

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Challenge: Existing datasets are limited due to the difficulty of collecting precise molecule-description pairs. Existing approaches to enhance large language models include a data augmentation framework and a new dataset called SAPubChem-41.
Approach: They propose a framework that interweaves model fine-tuning and data augmentation to overcome the scarcity of high-quality labeled data.
Outcome: The proposed framework interweaves model fine-tuning and data augmentation to overcome the scarcity of high-quality labeled data.

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