Legal Text Classification on LEDGAR
88.31AccuracyLLM-Knowledge-GCI
Evaluation results
| Method | Links | |
|---|---|---|
| LLM-Knowledge-GCI2026.03 | 88.31 | |
| Legal-roberta-base2026.03 | 87.29 | |
| CASAM2026.03 | 87.21 | |
| BERT2026.03 | 87.01 | |
| InLegalBERT2026.03 | 86.74 | |
| BERT+CRF2026.03 | 86.35 | |
| xlm-roberta-base2026.03 | 84.59 | |
| AC-NLG2026.03 | 82.28 | |
| qwen3:1.7bEvaluation Protocol=fine-tune2026.03 | 82.24 | |
| LLMEmbed2026.03 | 81.47 | |
| ProtoLens2026.03 | 80.11 | |
| BiLSTM+CRF2026.03 | 78.38 | |
| npc2026.03 | 78.16 | |
| gemma3:1bEvaluation Protocol=fine-tune2026.03 | 76.28 | |
| BiLSTM2026.03 | 76.24 | |
| qwen3:14bEvaluation Protocol=zero-shot2026.03 | 66.54 | |
| gemma3:12bEvaluation Protocol=zero-shot2026.03 | 56.87 | |
| llama2:13bEvaluation Protocol=zero-shot2026.03 | 41.76 |