KoNeoBench - Semantic Category - Multiple Choice: leaderboard
KoNeoBench evaluates Korean neologism understanding: contextual identification, component source-word recovery, semantic and specialist-domain categorization, and definition generation. Table 6 identifies the instruction-tuned checkpoints behind shortened result labels. This series reports KoNeoBench - Semantic Category - Multiple Choice from 2609.19916v1, S4.T1: Accuracy (%). Higher is better.
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around February 2027. 9 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.4 | 66.8 | #85 |
| 2 | GPT-4.1 | 63 | #260 |
| 3 | Qwen 3.5 9B | 39.94 | #395 |
| 4 | Solar Pro 3 | 37.14 | #576 |
| 5 | Qwen 2.5 7B Instruct | 36.53 | #866 |
| 6 | EXAONE 3.5 7.8B Instruct | 34.12 | #862 |
| 7 | Llama 3.1 8B Instruct | 28.9 | #1021 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #6 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=koneobench-semantic-category-multiple-choice · How It Works · Data refreshed daily, snapshot 2026-11-07.