--- title: "Who cites Michael Schlichtkrull" description: "401 papers of the Elamur Research library cite the works of Michael Schlichtkrull, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/michael-schlichtkrull/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/michael-schlichtkrull/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Michael Schlichtkrull](https://md.research.elamur.ai/free/en/authors/michael-schlichtkrull/) / cited by # Who cites Michael Schlichtkrull 473 citations of their works from 401 papers of our library (of the 140,884 whose bibliographies we read) · 17 with a page here, the most cited first · [← Michael Schlichtkrull](https://md.research.elamur.ai/free/en/authors/michael-schlichtkrull/) 1. [**Survey of Hallucination in Natural Language Generation**Ziwei Ji, Nayeon Lee, Rita Frieske, et al.*2022 · 5,947 citations*](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/) 2. [**UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 405 citations*](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/) 3. [**UL2: Unifying Language Learning Paradigms**Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.*2022 · 334 citations*](https://md.research.elamur.ai/free/en/papers/tay-2022-ul2-unifying-language-learning-paradigms/) 4. [**Character-LLM: A Trainable Agent for Role-Playing**Yunfan Shao, Linyang Li, Junqi Dai, et al.*2023 · 300 citations*](https://md.research.elamur.ai/free/en/papers/shao-2023-character-llm-trainable-agent-role/) 5. [**TAPEX: Table Pre-training via Learning a Neural SQL Executor**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/) 6. [**RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models**Cheng Niu, Yuanhao Wu, Juno Zhu, et al.*2024 · 204 citations*](https://md.research.elamur.ai/free/en/papers/niu-2024-ragtruth-hallucination-corpus-developing-trustworthy/) 7. [**A Survey on Stance Detection for Mis- and Disinformation Identification**Momchil Hardalov, Arnav Arora, Preslav Nakov, et al.*2022 · 187 citations*](https://md.research.elamur.ai/free/en/papers/hardalov-2022-survey-stance-detection-mis-disinformation/) 8. [**Large Language Models are few(1)-shot Table Reasoners**Wenhu Chen*2023 · 182 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-large-language-models-are-few/) 9. [**Knowledge Conflicts for LLMs: A Survey**Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.*2024 · 179 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-knowledge-conflicts-llms-survey/) 10. [**Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity**Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.*2023 · 169 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-factuality-large-language-models/) 11. [**Fact-Checking Complex Claims with Program-Guided Reasoning**Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-fact-checking-complex-claims-program/) 12. [**Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering**Jinheon Baek, Alham Fikri Aji, Amir Saffari*2023 · 118 citations*](https://md.research.elamur.ai/free/en/papers/baek-2023-knowledge-augmented-language-model-prompting/) 13. [**IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection**Peter R\oysland Aarnes, Vinay Setty, Petra Galuščakova*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/aarnes-2024-iai-group-checkthat-2024-transformer/) 14. [**Constructing a Japanese Claim Decomposition Dataset for Fact-Checking of LLM-Generated Texts**Miwa Masano, Ribeka Keyaki, Atsushi Keyaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/masano-2026-constructing-japanese-claim-decomposition-dataset/) 15. [**From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking Evidence**Premtim Sahitaj, Jawan Kolanowski, Ariana Sahitaj, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/sahitaj-2026-articles-premises-building-primefacts-extraction/) 16. [**A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War**Dikshya Mohanty, Taisiia Sabadyn, Jelwin Rodrigues, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mohanty-2026-longitudinal-multinational-multilingual-corpus-news/) 17. [**The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment**Ben Hagag, Reut Tsarfaty*2023*](https://md.research.elamur.ai/free/en/papers/hagag-2023-truth-whole-truth-nothing-but/) 384 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/michael-schlichtkrull/) — Michael Schlichtkrull