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Multi-metric LLM evaluation for cultural and multilingual model selection
Hi ๐
Cultural MT evaluation captures something most benchmarks miss. For teams choosing LLMs for culturally-sensitive applications, hallucination rate is especially important โ cultural misrepresentation often comes from overconfident generation.
I built an open source LLM Evaluation Framework that measures:
โ ๐ Hallucination Rate โ overconfident culturally incorrect outputs
โ ๐ฏ Accuracy โ task accuracy with 4-strategy cascade scoring
โ ๐ฐ Cost per 1K tokens โ multilingual tasks tend to be longer, cost matters
โ โก Latency โ important for real-time cross-cultural applications
โ ๐ง Reasoning Quality โ CoT depth
Live demo: https://huggingface.co/spaces/vigneshwar234/llm-eval-demo
GitHub: https://github.com/vignesh2027/LLM-Evaluation-Framework