---
title: "Who cites Marc Finzi — 98 papers of our library"
description: "98 papers of the Elamur Research library cite the works of Marc Finzi, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/marc-finzi/cited-by/"
---
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# Who cites Marc Finzi

98 citations of their works from 98 papers of our library (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · [← Marc Finzi](https://md.research.elamur.ai/free/en/authors/marc-finzi/)

1. [**Time-LLM: Time Series Forecasting by Reprogramming Large Language Models arXiv:2310.01728**Ming Jin, Shiyu Wang, Lintao Ma, et al.*2023 · 77 citations*](https://md.research.elamur.ai/free/en/papers/jin-2023-time-llm-time-series-forecasting/)
2. [**A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems arXiv:2504.09037**Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.*2025 · 39 citations*](https://md.research.elamur.ai/free/en/papers/ke-2025-survey-frontiers-llm-reasoning-inference/)
3. [**Position: What Can Large Language Models Tell Us about Time Series Analysis arXiv:2402.02713**Ming Jin, Yifan Zhang, Wei Chen, et al.*2024 · 31 citations*](https://md.research.elamur.ai/free/en/papers/jin-2024-position-large-language-models-tell/)
4. **[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*
5. [**Tx-LLM: A Large Language Model for Therapeutics arXiv:2406.06316**Juan Manuel Zambrano Chaves, Eric Wang, Tao Tu, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/chaves-2024-tx-llm-large-language-model/)
6. [**xVal: A Continuous Numerical Tokenization for Scientific Language Models arXiv:2310.02989**Siavash Golkar, Mariel Pettee, Michael Eickenberg, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/golkar-2023-xval-continuous-numerical-tokenization-scientific/)
7. [**Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path? arXiv:2502.15657**Yoshua Bengio, Michael Cohen, Damiano Fornasiere, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/bengio-2025-superintelligent-agents-pose-catastrophic-risks/)
8. [**Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency arXiv:2309.17382**Zhihan Liu, Hao Hu, Shenao Zhang, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-reason-future-act-now-principled/)
9. [**DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation arXiv:2505.19504**Pingzhi Li, Zhen Tan, Mohan Zhang, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-doge-defensive-output-generation-llm/)
10. [**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/)
11. **[Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data](https://md.research.elamur.ai/free/en/papers/quinlan-2026-chat-ts-enhancing-multi-modal/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Paul Quinlan, Qingguo Li, Xiaodan Zhu*2026 · 1 citation*
12. **[Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLMs via Noise Injection Prompting](https://md.research.elamur.ai/free/en/papers/yin-2026-enhancing-zero-shot-time-series/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingyou Yin, Ceyao Zhang, Min Hu, et al.*2026*
13. **[LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-lens-llm-enabled-narrative-synthesis/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenxuan Xu, Arvind Pillai, Subigya Nepal, et al.*2026*
14. **[ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-odtqa-fore-open-domain-tabular/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhensheng Wang, Xiaole Liu, Wenmian Yang, et al.*2026*
15. **[Protecting Language Models Against Unauthorized Distillation through Trace Rewriting](https://md.research.elamur.ai/free/en/papers/ma-2026-protecting-language-models-against-unauthorized/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinhang Ma, William Yeoh, Ning Zhang, et al.*2026*
16. **[Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context](https://md.research.elamur.ai/free/en/papers/zhu-2026-text-distribution-prediction-quantile-tokens/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhu, Yuan Zhuang, Nikhita Vedula, et al.*2026*
17. **[TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting](https://md.research.elamur.ai/free/en/papers/zhang-2026-timesaf-llm-guided-semantic-asynchronous/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fan Zhang, Shiming Fan, Hua Wang*2026*

81 more citing papers of our library have no page here yet.

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