Update README.md

README.md

@@ -214,7 +214,11 @@ Results on multilingual benchmarks for 21 European languages with instruction-tu
 | Bloomz-7B1                     | .358   | .316     | .354      | .461     | .302      |
 | **Teuken-7B-instruct-research-v0.4**            | .543   | .581     | .624      | .543     | .425      |
 
-More information regarding our translated benchmarks are available in our preprint ["Towards Multilingual LLM Evaluation for European Languages"](https://arxiv.org/abs/2410.08928).
+More information regarding the quality of our translated benchmarks are available in our Evaluation preprint ["Towards Multilingual LLM Evaluation for European Languages"](https://arxiv.org/abs/2410.08928).
+More evaluation results regarding Teuken-7B-instruct-research-v0.4 are available in our model preprint  ["Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs"](https://arxiv.org/abs/2410.03730).
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 The model was evaluated in 21 languages on ARC, GSM8K, HellaSwag, TruthfulQA, Translation and MMLU. Results can also be seen in the [European LLM Leaderboard](https://huggingface.co/spaces/openGPT-X/european-llm-leaderboard).