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@@ -35,7 +35,7 @@ Paris Noah's Ark Lab consists of 3 research teams that cover the following topic
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### 2025
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- *(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.
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- *(ICASSP'25)* - [Easing Optimization Paths: A Circuit Perspective](https://arxiv.org/abs/2501.02362): mechanistic
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- *(Neurocomputing)* - [Self-training: A survey](https://www.sciencedirect.com/science/article/pii/S0925231224016758): know more about pseudo-labeling strategies.
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### 2024
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### 2025
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- *(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.
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- *(ICASSP'25)* - [Easing Optimization Paths: A Circuit Perspective](https://arxiv.org/abs/2501.02362): mechanistic study of training dynamics in transformers.
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- *(Neurocomputing)* - [Self-training: A survey](https://www.sciencedirect.com/science/article/pii/S0925231224016758): know more about pseudo-labeling strategies.
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### 2024
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