XTempLLMs 2025

Reference Papers

1. Bojana Bodroža, Bojana M. Dinić and Ljubiša Bojić. Personality testing of large language models: limited temporal stability, but highlighted prosociality. In Royal Society Open Science 2023.
2. Shuang Chen, Yining Zheng, Shimin Li, Qinyuan Cheng, and Xipeng Qiu. Perceive the passage of time: A systematic evaluation of large language model in temporal relativity. In COLING 2025.
3. Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, and Bryan Perozzi. 2024. Test of time: A benchmark for evaluating llms on temporal reasoning. In ICLR 2025.
4. Jianping He, Laila Rasmy, Haifang Li, Jianfu Li, Zenan Sun, Evan Yu, Degui Zhi, and Cui Tao. 2024. Prompting large language models for clinical temporal relation extraction. ArXiv, abs/2412.04512.
5. Alexis Huet, Zied Ben Houidi, and Dario Rossi. Episodic memories generation and evaluation benchmark for large language models. In ICLR 2025.
6. Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, et al. Timellm: Time series forecasting by reprogramming large language models. In ICLR 2024.
7. Sangmitra Madhusudan, Robert D Morabito, Skye Reid, Nikta Gohari Sadr, and Ali Emami. Fine-tuned llms are "time capsules" for tracking societal bias through books. In NAACL 2025.
8. Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, and Kai-Wei Chang. Llm-a*: Large language model enhanced incremental heuristic search on path planning. In EMNLP 2024.
9. Yuanyuan Tian, Wenwen Li, Lei Hu, Xiao Chen, Michael Brook, Michael Brubaker, Fan Zhang, and Anna K. Liljedahl. 2024. Advancing large language models for spatiotemporal and semantic association mining of similar environmental events. ArXiv, abs/2411.12880.