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README.md

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 We are a non-profit research lab focused on understanding and building better Korean language models. See below for an overview of our projects.
 
-**Evaluation**  
+**Benchmarks**  
 We have built _the_ most-widely used korean benchmarks including HAE-RAE Bench (cultural knowledge, [dataset](https://huggingface.co/datasets/HAERAE-HUB/HAE_RAE_BENCH_1.0), [paper](https://arxiv.org/abs/2309.02706)), 
 KMMLU (general knowledge, [dataset](https://huggingface.co/datasets/HAERAE-HUB/KMMLU), [paper](https://arxiv.org/abs/2402.11548)), HRM8K (math, [dataset](https://huggingface.co/datasets/HAERAE-HUB/HRM8K), [paper](https://www.arxiv.org/abs/2501.02448)), and KMMLU-Redux/Pro  (general knowledge, [dataset](https://huggingface.co/datasets/LGAI-EXAONE/KMMLU-Pro), [paper](https://arxiv.org/abs/2507.08924)).
 
+**Evaluation**  
+We developed the [haerae-evaluation-toolkit](https://github.com/HAE-RAE/haerae-evaluation-toolkit), a unified LLM evaluation framework designed to provide consistent and reproducible benchmarking for Korean and multilingual models.
+
 **Reasoning Language Models**  
 With cooperation with [KISTI-KONI](https://huggingface.co/KISTI-KONI) we released the [KO-REAson](https://huggingface.co/KOREAson) series, <10B reasoning language models trained for Korean.