Update README.md

README.md

@@ -19,7 +19,7 @@ We built ModularStarEncoder on top of [StarCoder-2](https://huggingface.co/bigco
 The model is finetuned with [CLIP objective](https://github.com/mlfoundations/open_clip/blob/main/src/open_clip/loss.py).
 ModularStarEncoder fine-tuned works with instruction prompts; to get the most out of the model, embed the task in the input. The How to Use section below provides more details.
 
-- **Paper:** [Link](https://arxiv.org/abs/2503.03008)
+- **Paper:** [One Model to Train them All: Hierarchical Self-Distillation for Enhanced Early Layer Embeddings](https://arxiv.org/abs/2503.03008)
 - **Languages:** English, Go, Ruby, Python, Java, C++, PHP, C, JavaScript
 - **Different sizes:**  [Layer 4](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-4), [Layer 9](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-9), [Layer 18](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-18), [Layer 27](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-27), [Layer 36](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned)