doc adjustment

Signed-off-by: mgqa34 <[email protected]>

Author: mgqa34

README.md

@@ -28,9 +28,9 @@ Use [FATE-LLM deployment packages](https://github.com/FederatedAI/FATE/wiki/Down
 - [Federated ChatGLM3-6B Training](./doc/tutorial/parameter_efficient_llm/ChatGLM3-6B_ds.ipynb)
 - [Builtin Models In PELLM](./doc/tutorial/parameter_efficient_llm/builtin_pellm_models.md)
 - [Offsite Tuning Tutorial](./doc/tutorial/offsite_tuning/Offsite_tuning_tutorial.ipynb)
-- [FedKSeed](./doc/tutorial/fedkseed/fedkseed-example.ipynb)
+- [FedKSeed](./doc/tutorial/fedkseed/)
 - [InferDPT](./doc/tutorial/inferdpt/inferdpt_tutorial.ipynb)
-- [FedMKT](./doc/tutorial/fedmkt/fedmkt.ipynb)
+- [FedMKT](./doc/tutorial/fedmkt/)
 
 ## Citation
 

python/fate_llm/algo/fedkseed/README.md renamed to doc/tutorial/fedkseed/README.md

@@ -3,7 +3,7 @@
 The Algorithm is based on paper ["FedMKT: Federated Mutual Knowledge Transfer for Large and SmallLanguage Models"](https://arxiv.org/pdf/2406.02224), We integrate its code into the FATE-LLM framework.  
 
 ## Citation
-Please cite the following paper if you reference our model, code, data, or paper related to FedMKT.  
+If you publish work that uses FedMKT, please cite FedMKT as follows:
 ```
 @article{fan2024fedmkt,
   title={FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models},