TransClean Generation - Prompt 2 - Explanatory Text: leaderboard
The TransClean paper measures unwanted extra text and wrong-language outputs when models translate a multilingual source collection. These are translation-generation diagnostics preceding TransClean's separate extraction task. Prompt 0 is a language-labelled completion, while prompts 1 and 2 explicitly request translation; error rates retain their lower-is-better meaning despite upward arrows in the source table. This series reports TransClean Generation - Prompt 2 - Explanatory Text from 2609.11399v1, S1.T1: Explanatory Noise Rate (%). Lower is better.
Metric: Explanatory Noise Rate (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 12 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3 30B A3B 2507 Instruct | 2.62 | #501 |
| 2 | Qwen 3 30B A3B 2507 (Thinking) | 2.78 | #384 |
| 3 | Gemma 3 27B (IT) | 2.79 | #530 |
| 4 | DeepSeek R1 Distill Qwen 32B | 2.89 | #663 |
| 5 | Qwen 3 4B 2507 (Thinking) | 2.91 | #528 |
| 6 | Qwen 3 4B 2507 Instruct | 3.08 | #770 |
| 7 | aya-expanse-32B | 3.1 | #691 |
| 8 | Llama 3.2 3B Instruct | 3.3 | #1332 |
| 9 | Qwen 2.5 32B Instruct | 7.21 | #511 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #6 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=transclean-generation-prompt-2-explanatory-text · How It Works · Data refreshed daily, snapshot 2026-11-07.