---
title: "Who cites When TableQA Meets Noise: A — 4 citing papers"
description: "4 papers of the Elamur Research library cite «When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and…"
canonical: "https://research.elamur.ai/free/en/papers/ye-2026-when-tableqa-meets-noise-dual/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ye-2026-when-tableqa-meets-noise-dual/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [When TableQA Meets Noise: A Dual Denoising…](https://md.research.elamur.ai/free/en/papers/ye-2026-when-tableqa-meets-noise-dual/) / cited by

# Who cites «When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables»

4 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables»](https://md.research.elamur.ai/free/en/papers/ye-2026-when-tableqa-meets-noise-dual/)

1. **[Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-step-potential-advantage-estimation-harnessing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fei Wu, Zhenrong Zhang, Qikai Chang, et al.*2026 · 11 citations*
2. **[One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query Refinement](https://md.research.elamur.ai/free/en/papers/zhou-2026-one-refiner-unlock-them-all/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixiao Zhou, Dongzhou Cheng, Zhiliang wu, et al.*2026 · 2 citations*
3. **[Table-R1: Region-based Reinforcement Learning for Table Understanding](https://md.research.elamur.ai/free/en/papers/wu-2026-table-r1-region-based-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenhe Wu, Jian Yang, Zhongjiang He, et al.*2026*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/ye-2026-when-tableqa-meets-noise-dual/) — When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables