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Runzhe Zhan

Runzhe Zhan has 5 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Derek F. Wong, Lidia S. Chao, Junchao Wu.

5 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 6 · 38 works · 314 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 129 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #4888

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

🎓University of MacauMacao · China2021–2026 · 18 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.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksComputer Vision and Pattern Recognition · 4 worksComputational Theory and Mathematics · 1 work

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workEvaluation & benchmarks · 1 workIdioms & multiword expressions · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20262 papers20253 papers

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions (2025 · 277 citations)
    Text from LLMs such as GPT-4, Claude and PaLM now reads so much like human writing that people spot it only slightly better than chance.
  2. Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore (2025 · 17 citations)
    Detectors for machine-generated text usually need large labeled training sets (supervised classifiers) or access to the generating model's logits (white-box zero-shot methods such as DetectGPT or Fast-DetectGPT).
  3. Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model (2025 · 10 citations)
    Standard supervised fine-tuning updates every weight of a large language model. Popular PEFT methods such as adapters or LoRA reduce this cost, but they still decide what to train at the level of whole layers or modules. Xu et al. argue that training can be targeted much more finely, down to individual neurons, which…
  4. VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning (2026 · 5 citations)
    VisAidMath asks whether large multi-modal models (LMMs) can do more than read a diagram. It tests whether they can devise helpful constructions, such as auxiliary lines, and reason from them. The authors built a benchmark of 1,200 math problems from English and Chinese sources. The problems span exam-level to…
  5. G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment (2026 · 1 citation)
    Idioms carry figurative, culture-bound meanings that cannot be built word by word, so models that map them literally across languages often fail.

All works

9 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
  2. Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScoreInternational Conference on Computational Linguistics (COLING)Junchao Wu, Runzhe Zhan, Derek F. Wong, et al.2025 · 17 citations
  3. Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXuebo Liu et al.2023 · 11 citations
  4. Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language ModelInternational Conference on Computational Linguistics (COLING)Haoyun Xu, Runzhe Zhan, Yingpeng Ma, et al.2025 · 10 citations
  5. Difficulty-Aware Machine Translation Evaluation ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yetRunzhe Zhan et al.2021 · 9 citations
  6. Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRunzhe Zhan et al.2023 · 8 citations
  7. VisAidMath: Benchmarking Visual-Aided Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingkun Ma, Runzhe Zhan, Yang Li, et al.2026 · 5 citations
  8. Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost ↗arXiv:2510.20780 · no summary yetRunzhe Zhan et al.2025 · 4 citations
  9. G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Fengying Ye, Yanming Sun, Runzhe Zhan, et al.2026 · 1 citation

 Co-authors here

10 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 129 times (of the 149,439 papers whose bibliographies we read); 34 citing papers with a page here →.

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