Medical Question Answering on cMedQA2
88.18WinsLLM-AutoDP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LLM-AutoDPBackbone=Gemma-2-9B, Baseline Comparison=No-Process2026.01 | 88.18 | 0.87 | 10.94 | |
| LLM-AutoDPBackbone=Qwen2.5-7B, Baseline Comparison=No-Process2026.01 | 84.63 | 1.3 | 14.07 | |
| LLM-AutoDPBackbone=Llama3.1-8B, Baseline Comparison=No-Process2026.01 | 83.8 | 0.87 | 15.33 | |
| LLM-AutoDPBackbone=Gemma-2-9B, Baseline Comparison=RS2026.01 | 73.35 | 5.59 | 21.06 | |
| LLM-AutoDPBackbone=Gemma-2-9B, Baseline Comparison=All-Process2026.01 | 71.3 | 7.19 | 21.51 | |
| LLM-AutoDPBackbone=Llama3.1-8B, Baseline Comparison=RS2026.01 | 67.77 | 3.02 | 29.21 | |
| LLM-AutoDPBackbone=Qwen2.5-7B, Baseline Comparison=RS2026.01 | 67.33 | 3.02 | 29.65 | |
| LLM-AutoDPBackbone=Qwen2.5-7B, Baseline Comparison=All-Process2026.01 | 65.83 | 4.77 | 29.4 | |
| LLM-AutoDPBackbone=Gemma-2-9B, Baseline Comparison=SELA2026.01 | 63.37 | 3.25 | 33.38 | |
| LLM-AutoDPBackbone=Llama3.1-8B, Baseline Comparison=SELA2026.01 | 62.33 | 4.22 | 33.45 | |
| LLM-AutoDPBackbone=Llama3.1-8B, Baseline Comparison=All-Process2026.01 | 61.37 | 3.59 | 35.04 | |
| LLM-AutoDPBackbone=Qwen2.5-7B, Baseline Comparison=SELA2026.01 | 59.53 | 3.77 | 36.7 |