🔗 Who cites «A Time Series is Worth 64 Words: Long-term Forecasting with Transformers»

79 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «A Time Series is Worth 64 Words: Long-term Forecasting with Transformers»

1. Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsarXiv:2310.01728Ming Jin, Shiyu Wang, Lintao Ma, et al.2023 · 77 citations
2. 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
3. STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Juntong Ni, Shiyu Wang, Qi He, et al.2026 · 3 citations
4. 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
5. Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series ForecastingAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Sun, Kai Zhang, Xuejun Jiang, et al.2026
6. 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

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

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