Add pipeline tag and paper link

README.md

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+pipeline_tag: text-generation
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 # CDKA: Component Designed Kronecker Adapters
 
-Official PyTorch implementation of **Diving into Kronecker Adapters: Component Design Matters**.
+Official PyTorch implementation of [**Diving into Kronecker Adapters: Component Design Matters**](https://huggingface.co/papers/2602.01267).
 
 CDKA is a parameter-efficient fine-tuning framework for large-scale models. It studies how the component design of Kronecker adapters affects adapter capacity and downstream performance. In particular, CDKA exposes the component dimensions and the number of Kronecker components as controllable hyperparameters:
 
@@ -97,5 +101,4 @@ If you find this repository useful, please cite:
 
 ## Acknowledgement
 
-This codebase is built on [LoRA-GA](https://github.com/Outsider565/LoRA-GA). We thank the authors of LoRA-GA for releasing their implementation.
-
+This codebase is built on [LoRA-GA](https://github.com/Outsider565/LoRA-GA). We thank the authors of LoRA-GA for releasing their implementation.