---
title: "Who cites Position: What Can Large — 14 citing papers"
description: "14 papers of the Elamur Research library cite «Position: What Can Large Language Models Tell Us about Time Series Analysis», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/jin-2024-position-large-language-models-tell/cited-by/"
---
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# Who cites «Position: What Can Large Language Models Tell Us about Time Series Analysis»

14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Position: What Can Large Language Models Tell Us about Time Series Analysis»](https://md.research.elamur.ai/free/en/papers/jin-2024-position-large-language-models-tell/)

1. [**Large language models for education: A survey and outlook**Wang*2024 · 101 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-large-language-models-education-survey/)
2. **[SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition](https://md.research.elamur.ai/free/en/papers/li-2025-sensorllm-aligning-large-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zechen Li, Shohreh Deldari, Linyao Chen, et al.*2025 · 27 citations*
3. **[Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement](https://md.research.elamur.ai/free/en/papers/kong-2025-time-mqa-time-series-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, et al.*2025 · 21 citations*
4. [**Time Series Forecasting via Reasoning: A Slow-Thinking Approach with Reinforcement Fine-Tuned LLMs arXiv:2506.10630**Yitong Zhou, Yucong Luo, Mingyue Cheng, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2025-time-series-forecasting-reasoning-slow/)
5. **[Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback](https://md.research.elamur.ai/free/en/papers/yang-2026-time-ra-time-series-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiyuan Yang, Zichuan Liu, Lei Song, et al.*2026 · 3 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/jin-2024-position-large-language-models-tell/) — Position: What Can Large Language Models Tell Us about Time Series Analysis