🇨🇿 BenCzechMark - Can your LLM Understand Czech?

🇵🇭 FilBench - Can LLMs Understand and Generate Filipino?

We Got Claude to Fine-Tune an Open Source LLM

CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance

arXiv:2608.21462v1 Announce Type: cross Abstract: Due to the selection of their training data, large language models (LLMs) perform best on standard-language inputs from languages using the Latin alp...

Llama 3.1 - 405B, 70B & 8B with multilinguality and long context

KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs

arXiv:2510.18368v2 Announce Type: replace Abstract: We present $\textbf{Korean SimpleQA (KoSimpleQA)}$, a benchmark for evaluating factuality in large language models (LLMs) with a focus on Korean cu...

Introducing the Open Leaderboard for Hebrew LLMs!