Papers by Zhiguang Gao
Depression Detection on Social Media with Large Language Models (2025.emnlp-industry)
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| Challenge: | Existing methods for analyzing social media data lack a systematic integration of medical knowledge, causing a critical treatment gap. |
| Approach: | They propose a framework that leverages Large Language Models to integrate medical knowledge into social media data. |
| Outcome: | The proposed framework can be used to distinguish depression from transient mood changes. |
Factual Relation Discrimination for Factuality-oriented Abstractive Summarization (2023.findings-emnlp)
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| Challenge: | Existing factuality-oriented abstractive summarization models only consider the integration of factual information and ignore the causes of factuual errors. |
| Approach: | They propose a factuality-oriented abstractive summarization model that can identify the causes of factual errors. |
| Outcome: | The proposed model outperforms state-of-the-art models in factual metrics. |