Natural Language Inference on MultiMed-X YO
68.67AccuracyMED-COREASONER
Evaluation results
| Method | Links | |
|---|---|---|
| MED-COREASONERbackbone=GPT-5.12026.01 | 68.67 | |
| GPT-5.12026.01 | 63.33 | |
| GPT-4o2026.01 | 62.67 | |
| GPT-5.22026.01 | 62 | |
| Claude-3.5-haiku2026.01 | 54.67 |
| Method | Links | |
|---|---|---|
| MED-COREASONERbackbone=GPT-5.12026.01 | 68.67 | |
| GPT-5.12026.01 | 63.33 | |
| GPT-4o2026.01 | 62.67 | |
| GPT-5.22026.01 | 62 | |
| Claude-3.5-haiku2026.01 | 54.67 |