Papers by Chaoyi Chen
PUPPET: Neural-Symbolic Standardized Patients for Mental Health (2026.acl-long)
Copied to clipboard
Chen Xu, Yu ji, Zhenyu Lv, Yang Yi, Yizhe Yang, Luyao Ji, Chaoyi Chen, Xianyang Wang, Tian Lan, Zhihua Wang, Juan Wang, Xunde Dong, Fuze Tian, Qunxi Dong, Bin Hu
| Challenge: | Existing LLM-based training approaches lack faithful responses to clinical errors and explainable feedback. |
| Approach: | They propose a neural-symbolic virtual standardized patient governed by an OBSERVE-THINK-BEHAVE architecture that embeds LLM reasoning into a symbolic system where experts implant causal associations between intervention logic and patient mental states. |
| Outcome: | The proposed model outperforms baselines in faithfulness and pedagogical value. |
Duwak: Dual Watermarks in Large Language Models (2024.findings-acl)
Copied to clipboard
| Challenge: | Existing watermark techniques are effective in embedding single human-imperceptible and machine-detectable patterns without significantly affecting generated text quality and semantics. |
| Approach: | They propose to embed dual secret patterns in token probability distribution and sampling schemes to enhance the efficiency of watermarking. |
| Outcome: | The proposed method achieves highest watermark quality at the lowest required token count for detection, up to 70% less than existing techniques, especially under post paraphrasing attacks. |