Elamur Research⌕
☰
home / authors / Peizhao Hu

Peizhao Hu

Peizhao Hu has 2 papers in our library, in 2025, most of them on Legal AI, Reasoning, Bias, fairness & safety; often with Haoran Li, Huihao Jing, Qi Hu.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 15 · 77 works · 1,919 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8826

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

🏢Huawei TechnologiesShenzhen · China2024–2026 · 11 paperscurrent🔬Data61Sydney · Australia2006–2015 · 36 papers🎓Rochester Institute of TechnologyRochester · United States2015–2025 · 31 papers🎓The University of QueenslandBrisbane · Australia2006–2014 · 11 papers

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 worksArtificial Intelligence · 2 worksSocial Sciences · 1 workSafety Research · 1 workSociology and Political Science · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Legal AI · 2 worksBias, fairness & safety · 1 workReasoning · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance (2025 · 17 citations)
    Most privacy benchmarks for LLMs reduce privacy to spotting personally identifiable information. That ignores whether a particular data flow is appropriate in its setting. PrivaCI-Bench addresses this gap using Contextual Integrity (CI) theory. CI describes each flow by five parameters: sender, recipient, subject…
  2. Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning (2025 · 7 citations)
    LLMs deployed as tool-using agents raise safety and privacy risks. Typical defenses detect sensitive patterns instead of reasoning about the situation, and they rarely reflect actual legal standards. The authors reframe safety and privacy as compliance questions grounded in Contextual Integrity (CI) theory. Under CI…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal ComplianceAnnual Meeting of the Association for Computational Linguistics (ACL)Haoran Li, Wenbin Hu, Huihao Jing, et al.2025 · 17 citations
  2. Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Wenbin Hu, Haoran Li, Huihao Jing, et al.2025 · 7 citations
  3. From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetXiaoyu Xu et al.2026

 Co-authors here

9 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 19 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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