Update README.md

README.md

@@ -27,10 +27,13 @@ Paris Noah's Ark Lab consists of 3 research teams that cover the following topic
 ### Preprints
 
    - [TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning](https://huggingface.co/papers/2502.15425): distributed multi-agent hierarchical reinforcement learning framework.
-   - [Zero-shot Model-based Reinforcement Learning using Large Language Models](https://huggingface.co/papers/2410.11711): disentangled in-context learning for multivariate time series forecasting and model-based RL.
    - [Large Language Models as Markov Chains](https://huggingface.co/papers/2410.02724):  theoretical insights on their generalization and convergence properties.
    - [A Systematic Study Comparing Hyperparameter Optimization Engines on Tabular Data](https://balazskegl.medium.com/navigating-the-maze-of-hyperparameter-optimization-insights-from-a-systematic-study-6019675ea96c): insights to navigate the maze of hyperopt techniques. 
 
+### 2025
+
+   - *(ICLR'25)* - [Zero-shot Model-based Reinforcement Learning using Large Language Models](https://huggingface.co/papers/2410.11711): disentangled in-context learning for multivariate time series forecasting and model-based RL.
+
 ### 2024
 
    - *(NeurIPS'24)* [MANO: Unsupervised Accuracy Estimation Under Distribution Shifts](https://huggingface.co/papers/2405.18979): when logits are enough to estimate generalization of a pre-trained model.