---
title: "Who cites TableEval: A Real-World — 5 citing papers"
description: "5 papers of the Elamur Research library cite «TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question…"
canonical: "https://research.elamur.ai/free/en/papers/zhu-2025-tableeval-real-world-benchmark-complex/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhu-2025-tableeval-real-world-benchmark-complex/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [TableEval: A Real-World Benchmark for Complex…](https://md.research.elamur.ai/free/en/papers/zhu-2025-tableeval-real-world-benchmark-complex/) / cited by

# Who cites «TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering»

5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering»](https://md.research.elamur.ai/free/en/papers/zhu-2025-tableeval-real-world-benchmark-complex/)

1. **[Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation](https://md.research.elamur.ai/free/en/papers/zhou-2026-table-question-answering-era-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Zhou, Bolei Ma, Annemarie Friedrich, et al.*2026 · 2 citations*
2. [**AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data arXiv:2507.18442**Rana Alshaikh, Israa Alghanmi, Shelan Jeawak*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alshaikh-2025-aratable-benchmarking-llms-reasoning-understanding/)

3 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/zhu-2025-tableeval-real-world-benchmark-complex/) — TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering