Elamur Research⌕
☰
home / authors / Baolei Zhang

Baolei Zhang

Baolei Zhang has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Biao Yi, Tong Li, Zheli Liu.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 21 · 125 works · 1,589 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 11 times in our library · ⭐ Paper Stars ranking: #9442

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

🎓Shandong Normal UniversityJinan · China2008–2026 · 93 paperscurrent🏢China National Offshore Oil CorporationBeijing · China2023–2024 · 4 papers🏥General Hospital of Shenyang Military RegionShenyang · China2011–2012 · 2 papers🏛️Chinese Academy of SciencesBeijing · China2005–2006 · 2 papers🤝Institute of Mountain Hazards and EnvironmentChengdu · China2005–2006 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Prompt-Guided Internal States for Hallucination Detection of Large Language Models (2025 · 12 citations)
    Supervised hallucination detectors that read an LLM's hidden representations often fail when used outside the domain they were trained on.
  2. CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning (2026 · 3 citations)
    Providers offering fine-tuning as a service face a known risk: a user can upload harmful data and erase a model's safety alignment.

 Co-authors here

5 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 11 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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