Update README.md

README.md

@@ -33,10 +33,10 @@ Paris Noah's Ark Lab consists of 3 research teams that cover the following topic
    - [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
-   - *(ICML'25)* - [AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting](https://arxiv.org/abs/2502.10235): simple yet powerful tricks to extend foundation models.
-   - *(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.
-   - *(ICASSP'25)* - [Easing Optimization Paths: A Circuit Perspective](https://arxiv.org/abs/2501.02362): mechanistic study of training dynamics in transformers.
-   - *(Neurocomputing)* - [Self-training: A survey](https://www.sciencedirect.com/science/article/pii/S0925231224016758): know more about pseudo-labeling strategies.
+   - *(ICML'25)* [AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting](https://arxiv.org/abs/2502.10235): simple yet powerful tricks to extend foundation models.
+   - *(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.
+   - *(ICASSP'25)* [Easing Optimization Paths: A Circuit Perspective](https://arxiv.org/abs/2501.02362): mechanistic study of training dynamics in transformers.
+   - *(Neurocomputing)* [Self-training: A survey](https://www.sciencedirect.com/science/article/pii/S0925231224016758): know more about pseudo-labeling strategies.
 
 ### 2024