Dark Humor Detection On Big Bench
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle bei diesem Benchmark
| Paper Title | Code | ||
|---|---|---|---|
| Gopher-280B (few-shot, k=5) | 83.1 | Scaling Language Models: Methods, Analysis & Insights from Training Gopher | |
| Chinchilla-70B (few-shot, k=5) | 66.2 | Training Compute-Optimal Large Language Models |
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