Update README.md

README.md

@@ -176,8 +176,10 @@ For more details, please refer to the [codes](https://github.com/llm-jp/llm-jp-j
 
 ### AnswerCarefully-Eval
 
-[AnswerCarefully-Eval](https://www.anlp.jp/proceedings/annual_meeting/2025/pdf_dir/Q4-19.pdf) evaluates the safety of language model outputs in Japanese using the LLM-as-a-Judge approach, based on the test set of [llm-jp/AnswerCarefully](https://huggingface.co/datasets/llm-jp/AnswerCarefully).
-We evaluated the models using `gpt-4-0613`. The scores represent the average values obtained from five rounds of inference and evaluation.
+[AnswerCarefully-Eval](https://www.anlp.jp/proceedings/annual_meeting/2025/pdf_dir/Q4-19.pdf) assesses the safety of Japanese language model outputs using the LLM-as-a-Judge approach, based on the test set from [llm-jp/AnswerCarefully](https://huggingface.co/datasets/llm-jp/AnswerCarefully).
+We evaluated the models using `gpt-4-0613`.
+The scores represent the average values obtained from five rounds of inference and evaluation.
+
 
 | Model name | Acceptance rate (%, ↑) | Violation rate (%, ↓) | 
 | :--- | ---: | ---: |