--- title: "Yang Yao — author profile and papers — Elamur Research" description: "Yang Yao, Shanghai Artificial Intelligence Laboratory: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/yang-yao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yang-yao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yang Yao # Yang Yao Yang Yao has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Yan Teng](https://md.research.elamur.ai/free/en/authors/yan-teng/), [Yingchun Wang](https://md.research.elamur.ai/free/en/authors/yingchun-wang/), [Tianle Gu](https://md.research.elamur.ai/free/en/authors/tianle-gu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5138800740) · [**h-index 0**](https://openalex.org/authors/A5138800740) · [1 works](https://openalex.org/works?filter=author.id:A5138800740) · [0 citations](https://openalex.org/works?filter=author.id:A5138800740&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yang-yao/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/yang-yao/cited-by/) · [⭐ Paper Stars ranking: #13510](https://md.research.elamur.ai/free/en/paper-stars/page/136/#star-13510) 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=Yang+Yao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yang+Yao) · [dblp](https://dblp.org/search?q=Yang+Yao) · [ACL Anthology](https://aclanthology.org/search/?q=Yang+Yao) ## Affiliations [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Safety, Risk, Reliability and Quality · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/safety-risk-reliability-and-quality/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 2 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yang-yao/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-agenticeval-agentic-self-evolving-safety/)** *(2026 · 1 citation)* Static safety benchmarks for LLMs age quickly. They struggle to reflect complex legal requirements and are hard to adapt to an organization's own policies. AgenticEval addresses this by treating safety evaluation as an ongoing, self-updating process rather than a single audit. In this multi-agent framework: 2. **[PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience](https://md.research.elamur.ai/free/en/papers/liao-2026-pseudobench-measuring-agentic-auto/)** *(2026 · 1 citation)* LLM-based agents are increasingly used for autonomous end-to-end research. This raises a risk: such agents could quickly produce credible-looking studies built on pseudoscientific ideas and pollute the scientific record. The authors introduce PseudoBench, an adversarial benchmark that tests whether these agents push… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Yan Teng](https://md.research.elamur.ai/free/en/authors/yan-teng/) ×2 - [Yingchun Wang](https://md.research.elamur.ai/free/en/authors/yingchun-wang/) ×2 - [Tianle Gu](https://md.research.elamur.ai/free/en/authors/tianle-gu/) - [Tong Zhu](https://md.research.elamur.ai/free/en/authors/tong-zhu/) - [Xin Wang](https://md.research.elamur.ai/free/en/authors/xin-wang/) - [Xingjun Ma](https://md.research.elamur.ai/free/en/authors/xingjun-ma/) - [Xinyuan Li](https://md.research.elamur.ai/free/en/authors/xinyuan-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/yang-yao/cited-by/). Updated 3 November 2026