Papers by Hongli Zhan
Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models (2023.findings-emnlp)
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| Challenge: | Existing work on automatic prediction of cognitive appraisals has focused on physiological aspects of emotions. |
| Approach: | They present a dataset that assesses 24 appraisal dimensions across 241 Reddit posts . they find that open-source models fail to automatically assess and explain cognitive appraisals . |
| Outcome: | The proposed dataset assesses 24 appraisal dimensions across 241 reddit posts. |
Unsupervised Extractive Summarization of Emotion Triggers (2023.acl-long)
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| Challenge: | Recent approaches trained supervised models to detect emotions and explain emotion triggers via abstractive summarization, but this can block necessary responses. |
| Approach: | They propose to augment an abstractive dataset with extractive triggers and develop unsupervised models that can jointly detect emotions and summarize their triggers. |
| Outcome: | The proposed model outperforms existing models and is based on a COVID-19 crisis dataset. |
PwnGPT: Automatic Exploit Generation Based on Large Language Models (2025.acl-long)
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Wanzong Peng, Lin Ye, Xuetao Du, Hongli Zhang, Dongyang Zhan, Yunting Zhang, Yicheng Guo, Chen Zhang
| Challenge: | Automated exploit generation (AEG) is the automatic discovery and exploitation of vulnerabilities against unknown targets. |
| Approach: | They propose an automatic exploit generation framework that automatically solves pwn challenges by using large language models. |
| Outcome: | The proposed framework improves the completion rate of exploits on the openAI o1-preview model and the GPT-4o model. |
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts (2022.emnlp-main)
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| Challenge: | Large-scale crises such as the COVID-19 pandemic cause emotional turmoil worldwide. |
| Approach: | They propose a method to jointly detect emotions and summarize emotion triggers in social media posts related to COVID-19. |
| Outcome: | The proposed method can detect emotions and summarize emotions in long social media posts. |