Elamur Research⌕
☰
home / authors / Yang Yao

Yang Yao

Yang Yao has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Yan Teng, Yingchun Wang, Tianle Gu.

2 papers in our library · 2026

OpenAlex · h-index 0 · 1 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #13510

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2026 · 1 papercurrent

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksSocial Sciences · 2 worksArtificial Intelligence · 2 worksSafety Research · 2 worksEngineering · 1 workSafety, Risk, Reliability and Quality · 1 workSociology and Political Science · 1 work

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models (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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yang-yao/