Research map / Large language models / Language, safety and interpretability
KLUE: Korean Language Understanding Evaluation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| scale KLUE-RoBERTa from base to large | KLUE-RoBERTa · KLUE-MRC dev | EM: 69.56 -> 75.26 | Helped |
| scale KLUE-RoBERTa from base to large | KLUE-RoBERTa · KLUE-RE dev | micro F1: 66.73 -> 71.06 | Helped |
| scale KLUE-RoBERTa from base to large | KLUE-RoBERTa · YNAT dev | macro F1: 86.19 -> 85.88 | No clear effect |
| use Korean-pretrained KLUE-BERT-base instead of multilingual mBERT-base | BERT-base · KLUE-MRC dev | EM: 49.96 -> 62.42 | Helped |
| use KLUE-RoBERTa-large instead of XLM-R-large | large PLM · KLUE-NLI dev | accuracy: 86.40 -> 89.50 | Helped |
| use KLUE-RoBERTa-large instead of XLM-R-large | large PLM · YNAT dev | macro F1: 87.30 -> 85.88 | Hurt |
Closest papers by meaning
- K-ON: Stacking Knowledge on the Head Layer of Large Language Model (AAAI 2025 · similarity 0.84)
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