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Zhi-Rui Tam

Zhi-Rui Tam has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Reasoning; often with Yun-Nung Chen, Andreas Köpf, Cheng-Kuang Wu.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 5 · 22 works · 203 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 440 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3703

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

🎓National Taiwan UniversityTaipei · Taiwan2024–2026 · 8 paperscurrent🎓National Yang Ming Chiao Tung UniversityHsinchu · Taiwan2020–2024 · 5 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 workReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OpenAssistant Conversations — Democratizing Large Language Model Alignment (2023 · 518 citations)
    Aligning large language models with SFT and RLHF depends on good human demonstrations and preference judgments.
  2. Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models? (2025 · 17 citations)
    Large reasoning models (LRMs) write an explicit thinking trace before they answer. It is unclear which language that trace uses when the prompt is not in English, and whether the choice matters. Tam et al. show that open-weight LRMs such as QwQ-32B and Qwen3-30B-A3B mostly think in English, and sometimes in Chinese.…
  3. VisTW: Benchmarking Vision-Language Models for Taiwanese Mandarin in Taiwan (2026 · 1 citation)
    Most multimodal benchmarks target English or Simplified Chinese. This leaves vision-language models (VLMs) largely untested on Traditional Chinese as used in Taiwan, where script, terminology and cultural references differ. The authors present VisTW, a benchmark with two parts:

All works

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

  1. OpenAssistant Conversations — Democratizing Large Language Model AlignmentarXiv:2304.07327Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, et al.2023 · 518 citations
  2. Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yetZhi Rui Tam et al.2024 · 84 citations
  3. Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models?arXiv:2505.17407Zhi Rui Tam, Cheng-Kuang Wu, Yu Ying Chiu, et al.2025 · 17 citations
  4. VisTW: Benchmarking Vision-Language Models for Taiwanese Mandarin in TaiwanFindings of the Association for Computational LinguisticsZhi Rui Tam, Yung-Yu Shih, Yen-Wei Lee, et al.2026 · 1 citation

 Co-authors here

7 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 440 times (of the 149,439 papers whose bibliographies we read); 118 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/zhi-rui-tam/