Rohan Paul@rohanpaul_ai

2 years ago

Multilingual evaluation reimagined: Testing LLMs beyond Western cultural assumptions Global-MMLU addresses cultural biases in multilingual LLM evaluation by introducing a comprehensive benchmark across 42 languages. It identifies that 28% of MMLU questions require… https://t.co/IXt31fs1XH

Marktechpost AI Research News ⚡@Marktechpost

2 years ago

🧵 1/3 Bytedance AI Research Releases FullStack Bench and SandboxFusion: Comprehensive Benchmarking Tools for Evaluating LLMs in Real-World Programming Scenarios Researchers from ByteDance Seed and M-A-P have introduced FullStack Bench, a benchmark that evaluates LLMs across 11… https://t.co/TRhi3loanY

Global-MMLU 🌎 is trending on @huggingface datasets 🔥 We are very proud of this cross-institutional effort to improve how evaluation reflect contexts all over the world. https://t.co/Q7KkSMkowd https://t.co/c3OVEtFYge https://t.co/YXu5a045GV