MORPHOGEN - Hindi Corpus Gender Accuracy: leaderboard
Metric: Corpus-level gender accuracy (%): correctly generated gendered terms over all reference gendered terms of the test set, in the GENFORM task of MORPHOGEN: rewrite a first-person Hindi sentence for a speaker of the opposite grammatical gender while keeping its meaning (both directions, human-corrected references), zero-shot with the model chat template, temperature 0.1; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Phi-4 | 95.1 |
| 2 | GPT-4o Mini | 93.36 |
| 3 | Llama 3.3 70B | 91.4 |
| 4 | Qwen 3 32B | 90.38 |
| 5 | Llama 3.1 8B | 89.21 |
| 6 | Qwen 3 8B | 87.82 |
| 7 | Qwen 3 14B | 85.8 |
| 8 | Gemma 2 9B | 84.39 |
| 9 | Gemma 3 27B | 82.56 |
| 10 | Gemma 3 12B | 80.99 |
| 11 | Qwen 3 4B | 68.51 |
| 12 | Gemma 2 2B | 65.41 |
| 13 | Gemma 3 4B | 64.58 |
| 14 | Llama 3.2 3B | 49.72 |
| 15 | Qwen 2.5 0.5B | 0.21 |
Interactive version: theaggregate.ai/benchmark?slug=morphogen-hindi-corpus-gender-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-07.