🧑‍🔬 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

1. Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsarXiv:2310.01728Ming Jin, Shiyu Wang, Lintao Ma, et al.2023 · 77 citations
2. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
3. Position: What Can Large Language Models Tell Us about Time Series AnalysisarXiv:2402.02713Ming Jin, Yifan Zhang, Wei Chen, et al.2024 · 31 citations
4. SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP)Zechen Li, Shohreh Deldari, Linyao Chen, et al.2025 · 27 citations
5. Tx-LLM: A Large Language Model for TherapeuticsarXiv:2406.06316Juan Manuel Zambrano Chaves, Eric Wang, Tao Tu, et al.2024 · 23 citations
6. xVal: A Continuous Numerical Tokenization for Scientific Language ModelsarXiv:2310.02989Siavash Golkar, Mariel Pettee, Michael Eickenberg, et al.2023 · 19 citations
7. Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?arXiv:2502.15657Yoshua Bengio, Michael Cohen, Damiano Fornasiere, et al.2025 · 16 citations
8. Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample EfficiencyarXiv:2309.17382Zhihan Liu, Hao Hu, Shenao Zhang, et al.2023 · 13 citations
9. DOGe: Defensive Output Generation for LLM Protection Against Knowledge DistillationarXiv:2505.19504Pingzhi Li, Zhen Tan, Mohan Zhang, et al.2025 · 6 citations
10. Time Series Forecasting via Reasoning: A Slow-Thinking Approach with Reinforcement Fine-Tuned LLMsarXiv:2506.10630Yitong Zhou, Yucong Luo, Mingyue Cheng, et al.2025 · 6 citations
11. Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language DataConference of the European Chapter of the Association for Computational Linguistics (EACL)Paul Quinlan, Qingguo Li, Xiaodan Zhu2026 · 1 citation
12. Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLMs via Noise Injection PromptingFindings of the Association for Computational LinguisticsXingyou Yin, Ceyao Zhang, Min Hu, et al.2026
13. LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language ModelsAnnual Meeting of the Association for Computational Linguistics (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 ReasoningFindings of the Association for Computational LinguisticsZhensheng Wang, Xiaole Liu, Wenmian Yang, et al.2026
15. Protecting Language Models Against Unauthorized Distillation through Trace RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinhang Ma, William Yeoh, Ning Zhang, et al.2026
16. Text-to-Distribution Prediction with Quantile Tokens and Neighbor ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Yilun Zhu, Yuan Zhuang, Nikhita Vedula, et al.2026
17. TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series ForecastingAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Zhang, Shiming Fan, Hua Wang2026

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