MultiLexNorm++ (LLM Only) - Japanese: 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; the new Japanese social-media set, 7.03% of words normalized). Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4o | 20.48 |
| 2 | Qwen 2.5 72B Instruct | 16.45 |
| 3 | Gemma 3 27B (IT) | 7.17 |
| 4 | Llama 3.3 70B Instruct | 6.76 |
Interactive version: theaggregate.ai/benchmark?slug=multilexnorm-plus-plus-llm-only-japanese · How It Works · Data refreshed daily, snapshot 2026-09-26.