From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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.

📚 Shelves 6Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Computational Theory and Mathematics · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work

🧭 Topics 1Reasoning · 2 works

Works by year

2020s

20261 paper 20241 paper

Papers

The most cited first (OpenAlex and our library).

Neuro-Symbolic Data Generation for Math Reasoning (2024 · 14 citations)
The paper asks whether weak LLM performance in mathematics is a basic limitation or a consequence of too little reliable training data.
TabularMath: Understanding Math Reasoning over Tables with Large Language Models (2026 · 3 citations)
Most math benchmarks for LLMs use plain-text word problems. Real tasks such as business intelligence or financial reports instead require multi-step arithmetic over tables that may be large, incomplete, or contradictory. Existing table benchmarks rely on manual collection, which limits their scale, and they seldom…

Co-authors here

9 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 14 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 3 November 2026

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

🧑‍🔬 Zhi Zhou

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Zhi Zhou

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by