---
title: "Who cites Chain of History: Learning and — 17 citing papers"
description: "17 papers of the Elamur Research library cite «Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph…"
canonical: "https://research.elamur.ai/free/en/papers/luo-2024-chain-history-learning-forecasting-llms/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Chain of History: Learning and Forecasting with…](https://md.research.elamur.ai/free/en/papers/luo-2024-chain-history-learning-forecasting-llms/) / cited by

# Who cites «Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion»

17 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion»](https://md.research.elamur.ai/free/en/papers/luo-2024-chain-history-learning-forecasting-llms/)

1. **[A Thorough Examination of Decoding Methods in the Era of LLMs](https://md.research.elamur.ai/free/en/papers/shi-2024-thorough-examination-decoding-methods-era/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chufan Shi, Haoran Yang, Deng Cai, et al.*2024 · 68 citations*
2. [**Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges arXiv:2403.02990**Bosheng Ding, Chengwei Qin, Ruochen Zhao, et al.*2024 · 32 citations*](https://md.research.elamur.ai/free/en/papers/ding-2024-data-augmentation-using-large-language/)
3. **[Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs](https://md.research.elamur.ai/free/en/papers/xia-2025-beyond-chain-thought-survey-chain/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yu Xia, Rui Wang, Xu Liu, et al.*2025 · 19 citations*
4. **[Method for Expanding Event Commonsense Knowledge Graph Based on Large Language Models (基于大语言模型的事件常识知识图谱扩展方法)](https://md.research.elamur.ai/free/en/papers/huang-2024-method-expanding-event/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Qiaojuan Huang (黄俏娟), Cungen Cao (曹存根), Ya Wang (王亚), et al.*2024*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/luo-2024-chain-history-learning-forecasting-llms/) — Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion
