🧑‍🔬 Mengxiao Zhu

🏛️ Affiliations

🎓North China University of TechnologyBeijing · China2022–2026 · 12 paperscurrent🎓University of Science and Technology of ChinaHefei · China2023–2026 · 3 paperscurrent🎓Huai'an UniversityHuai'an · China2025 · 3 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups (2026)
   The paper asks whether Chinese large language models show social identity bias, meaning they treat an ingroup more favourably and an outgroup more harshly, as earlier work by Hu et al.
2. Verifying the Subjective: Structured Multilingual Rewards for Low-Resource Alignment (2026)
   Aligning LLMs for low-resource languages is limited by weak reward signals. Scalar reward models transfer poorly across cultures, free-text judge critiques are noisy and hard to check, and rule-based verification only works when answers are objectively right or wrong. To extend the Reinforcement Learning with…

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. Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social GroupsFindings of the Association for Computational LinguisticsGeng Liu, Li Feng, Junjie Mu, et al.2026
2. Verifying the Subjective: Structured Multilingual Rewards for Low-Resource AlignmentFindings of the Association for Computational LinguisticsJiu Sha, Mengxiao Zhu2026
3. Beyond Atomic Characters: Glyph-Aware Sub-character Alignment for Low-Resource Multilingual OCR ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMengxiao Zhu et al.2026

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 ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Updated 1 November 2026

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