🧑‍🔬 Zhuang Li

🏛️ Affiliations

🎓RMIT UniversityMelbourne · Australia2026 · 3 paperscurrent

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. How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts (2026 · 1 citation)
   Using LLMs safely for clinical decision support depends on handling patient measurements correctly. It also depends on that handling staying correct when the same values are recorded in different ways. Earlier clinical benchmarks, such as MedCalc-Bench, mostly test arithmetic and ignore documentation format. The…
2. Distributional Alignment for Large Language Models under Domain Shift (2026)
   The paper addresses distribution prediction for LLMs: estimating the share of a country's population that would choose each option of a multiple-choice survey question.

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. How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical ContextsFindings of the Association for Computational LinguisticsMinh-Vuong Nguyen, Fatemeh Shiri, Zhuang Li, et al.2026 · 1 citation
2. Distributional Alignment for Large Language Models under Domain ShiftFindings of the Association for Computational LinguisticsViet Thanh Pham, Lizhen Qu, Zhuang Li, et al.2026
3. Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetLi Zheng et al.2026

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Gholamreza Haffari
• Karin Verspoor
• Lizhen Qu
• Viet Thanh Pham

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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