MultiLexNorm++ (LLM Only): leaderboard
Metric: Error reduction rate (%; (correct minus wrong normalizations) / words that need normalization, so 0 equals leaving the text unchanged and a negative score means more wrong than right edits; the floor is -100 divided by the share of words needing normalization; 8-shot prompting, mean of three runs; the LLM normalizes without the training-lexicon lookup; unweighted mean over 17 language settings). Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4o | 49.13 |
| 2 | Gemma 3 27B (IT) | 41.91 |
| 3 | Qwen 2.5 72B Instruct | 36.2 |
| 4 | Llama 3.3 70B Instruct | 32.36 |
Interactive version: theaggregate.ai/benchmark?slug=multilexnorm-plus-plus-llm-only · How It Works · Data refreshed daily, snapshot 2026-09-26.