---
title: "Ministry of Education of the People's Republic of China — works"
description: "3 works of Ministry of Education of the People's Republic of China from 2026 in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/government/ministry-of-education-of-the-people-s-republic-of-china/year/2026/"
---
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# Works of Ministry of Education of the People's Republic of China from 2026

3 works · the most cited first · [← Ministry of Education of the People's Republic of China](https://md.research.elamur.ai/free/en/government/ministry-of-education-of-the-people-s-republic-of-china/)

1. **[Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-prompt-fine-grained-simulation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weikang Zhang, Zimo Zhu, Zhichuan Yang, et al.*2026*
2. **[Empathy in Diversity: Personalized Depression and Anxiety Therapy via Dialogue State Tracking and Patient-Aware Planning](https://md.research.elamur.ai/free/en/papers/yang-2026-empathy-diversity-personalized-depression-anxiety/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinwei Yang, Junyi Fan, Yuqing Liu, et al.*2026*
3. **[METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues](https://md.research.elamur.ai/free/en/papers/yang-2026-metro-strategy-induction-expert-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haofu Yang, Jiaji Liu, Chen Huang, et al.*2026*
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