---
title: "Who cites UniK-QA: Unified Representations — 72 citing papers"
description: "72 papers of the Elamur Research library cite «UniK-QA: Unified Representations of Structured and Unstructured Knowledge for…"
canonical: "https://research.elamur.ai/free/en/papers/oguz-2022-unik-qa-unified-representations-structured/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [UniK-QA: Unified Representations of Structured…](https://md.research.elamur.ai/free/en/papers/oguz-2022-unik-qa-unified-representations-structured/) / cited by

# Who cites «UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering»

72 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering»](https://md.research.elamur.ai/free/en/papers/oguz-2022-unik-qa-unified-representations-structured/)

1. **[UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 406 citations*
2. [**TAPEX: Table Pre-training via Learning a Neural SQL Executor arXiv:2107.07653**Qian Liu, Bei Chen, Jiaqi Guo, et al.*2021 · 254 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-tapex-table-pre-training-learning/)
3. [**Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering arXiv:2306.04136**Jinheon Baek, Alham Fikri Aji, Amir Saffari*2023 · 119 citations*](https://md.research.elamur.ai/free/en/papers/baek-2023-knowledge-augmented-language-model-prompting/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/oguz-2022-unik-qa-unified-representations-structured/) — UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering
