---
title: "Boren Zheng · Alibaba Group — author profile and papers"
description: "Boren Zheng, Alibaba Group: 3 papers on Elamur Research (2024–2025), h-index 1 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/boren-zheng/"
---
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# Boren Zheng

Boren Zheng has 3 papers in our library, in 2024–2025, 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/), [Yancheng He](https://md.research.elamur.ai/free/en/authors/yancheng-he/), [Yingshui Tan](https://md.research.elamur.ai/free/en/authors/yingshui-tan/).

3 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5051860912) · [**h-index 1**](https://openalex.org/authors/A5051860912) · [13 works](https://openalex.org/works?filter=author.id:A5051860912) · [8 citations](https://openalex.org/works?filter=author.id:A5051860912&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/boren-zheng/#papers) · [🔗 Cited 102 times in our library](https://md.research.elamur.ai/free/en/authors/boren-zheng/cited-by/) · [⭐ Paper Stars ranking: #7551](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7551)

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=Boren+Zheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Boren+Zheng) · [dblp](https://dblp.org/search?q=Boren+Zheng) · [ACL Anthology](https://aclanthology.org/search/?q=Boren+Zheng)

## Affiliations

[🏢**Alibaba Group** Hangzhou · China 2024–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Tsinghua University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Rhode Island** Kingston · United States 2019–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-rhode-island/)

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).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/boren-zheng/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/boren-zheng/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference](https://md.research.elamur.ai/free/en/papers/ji-2025-pku-saferlhf-multi-level-safety/)** *(2025 · 83 citations)* Safety alignment of large language models depends on preference data and fine-grained harm labels, which are expensive to collect at scale.
2. **[Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2024-chinese-simpleqa-chinese-factuality/)** *(2024 · 34 citations)* Hallucination remains a major weakness of large language models. Factuality is hard to measure when models produce long answers that mix many claims. OpenAI's SimpleQA addressed this with short fact-seeking questions, but it covers only English. Chinese SimpleQA is a Chinese counterpart: 3,000 short questions, each…
3. **[Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/tan-2024-chinese-safetyqa-safety-short/)** *(2024 · 4 citations)* Models deployed in China must handle questions about local law, policy and ethics correctly. Existing safety benchmarks mostly use red-teaming or case-based prompts that mix several risks at once, which makes it hard to tell which areas of safety knowledge a model lacks. The authors introduce Chinese SafetyQA, a…

## Co-authors here

12 of 25 co-authors with a page, the most papers together first.

- [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) ×2
- [Yancheng He](https://md.research.elamur.ai/free/en/authors/yancheng-he/) ×2
- [Yingshui Tan](https://md.research.elamur.ai/free/en/authors/yingshui-tan/) ×2
- [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/)
- [Borong Zhang](https://md.research.elamur.ai/free/en/authors/borong-zhang/)
- [Boxun Li](https://md.research.elamur.ai/free/en/authors/boxun-li/)
- [Boyuan Chen](https://md.research.elamur.ai/free/en/authors/boyuan-chen/)
- [Donghai Hong](https://md.research.elamur.ai/free/en/authors/donghai-hong/)
- [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/)
- [Hui Huang](https://md.research.elamur.ai/free/en/authors/hui-huang/)
- [Huiyun Jing](https://md.research.elamur.ai/free/en/authors/huiyun-jing/)
- [Jiaming Ji](https://md.research.elamur.ai/free/en/authors/jiaming-ji/)

## 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/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)

## Cited by

Papers of our library cite their works 102 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/boren-zheng/cited-by/).

Updated 1 November 2026
