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Zhengyang Tang

Zhengyang Tang has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks, Semitic languages; often with Bang An, Benyou Wang, Bofei Gao.

2 papers in our library · 2024–2025

OpenAlex · h-index 16 · 75 works · 921 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 312 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5934

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 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. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models (2024 · 163 citations)
    Widely used math benchmarks such as GSM8K and MATH are close to saturated. OpenAI o1 scores about 95% on MATH, so these tests no longer separate the strongest LLMs well. The authors built Omni-MATH, a text-only benchmark of 4,428 competition problems. They range from introductory contests (CEMC, HMMT) up to IMO…
  2. Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion (2025 · 11 citations)
    English-centric LLMs such as LLaMA2 handle Arabic poorly at the vocabulary level. Their tokenizer holds little beyond basic Arabic characters, so Arabic text splits into near-letter sequences and generation is slow. Adding many Arabic subwords at once is risky: suddenly the model sees many units it has no trained…

All works

4 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. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsarXiv:2410.07985Bofei Gao, Feifan Song, Zhe Yang, et al.2024 · 163 citations
  2. MathScale: Scaling Instruction Tuning for Mathematical Reasoning ↗arXiv:2403.02884 · no summary yetZhengyang Tang et al.2024 · 83 citations
  3. Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models ↗arXiv:2402.13064 · no summary yetHaoran Li et al.2024 · 65 citations

 Co-authors here

12 of 20 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 312 times (of the 149,439 papers whose bibliographies we read); 91 citing papers with a page here →.

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