--- title: "Yuchen Mou — author profile and papers — Elamur Research" description: "Yuchen Mou, National University of Singapore: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yuchen-mou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuchen-mou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuchen Mou # Yuchen Mou Yuchen Mou has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bingzhe Wu](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/), [Haotian Lu](https://md.research.elamur.ai/free/en/authors/haotian-lu/), [Hongru Sun](https://md.research.elamur.ai/free/en/authors/hongru-sun/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5133584598) · [**h-index 0**](https://openalex.org/authors/A5133584598) · [11 works](https://openalex.org/works?filter=author.id:A5133584598) · [0 citations](https://openalex.org/works?filter=author.id:A5133584598&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yuchen-mou/#papers) · [⭐ Paper Stars ranking: #13394](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13394) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yuchen+Mou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuchen+Mou) · [dblp](https://dblp.org/search?q=Yuchen+Mou) · [ACL Anthology](https://aclanthology.org/search/?q=Yuchen+Mou) ## Affiliations [🎓**National University of Singapore** Singapore · Singapore 2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**Shenzhen University** Shenzhen · China 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yuchen-mou/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions](https://md.research.elamur.ai/free/en/papers/yu-2026-survey-reinforcement-learning-large-language/)** *(2026)* RL-based post-training is now a leading way to strengthen reasoning in LLMs, but it is held back by data scarcity in two forms. 2. **[CARO: Chain-of-Analogy Reasoning Optimization for Robust Content Moderation](https://md.research.elamur.ai/free/en/papers/wu-2026-caro-chain-analogy-reasoning-optimization/)** *(2026)* LLM-based moderators, including dedicated reasoning models, often misjudge borderline content because surface cues act as "decision shortcuts." For example, DeepSeek R1 flagged a harmless remark mentioning an ethnic group as discriminatory. 3. **[CHAIRO: Contextual Hierarchical Analogical Induction and Reasoning Optimization for LLMs](https://md.research.elamur.ai/free/en/papers/lu-2026-chairo-contextual-hierarchical-analogical-induction/)** *(2026)* LLM-based content moderation often fails when harm is implicit, such as discrimination expressed indirectly or through metaphor, or when moderation criteria are vague. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Bingzhe Wu](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/) ×2 - [Haotian Lu](https://md.research.elamur.ai/free/en/authors/haotian-lu/) ×2 - [Hongru Sun](https://md.research.elamur.ai/free/en/authors/hongru-sun/) - [Jun Xu](https://md.research.elamur.ai/free/en/authors/jun-xu/) - [Junyu Luo](https://md.research.elamur.ai/free/en/authors/junyu-luo/) - [Ming Zhang](https://md.research.elamur.ai/free/en/authors/ming-zhang/) - [Xing Wei](https://md.research.elamur.ai/free/en/authors/xing-wei/) - [Yatao Bian](https://md.research.elamur.ai/free/en/authors/yatao-bian/) - [Yunhui Liu](https://md.research.elamur.ai/free/en/authors/yunhui-liu/) - [Zhiyin Yu](https://md.research.elamur.ai/free/en/authors/zhiyin-yu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) Updated 2 November 2026