Multi Task Language Understanding On Bbh Alg
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Average (%)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Average (%) | Paper Title | Repository |
|---|---|---|---|
| Flan-PaLM 540B (3-shot, fine-tuned, CoT) | 61.3 | Scaling Instruction-Finetuned Language Models | |
| code-davinci-002 175B (CoT) | 73.9 | Evaluating Large Language Models Trained on Code | |
| PaLM 540B (CoT) | 57.6 | Scaling Instruction-Finetuned Language Models | |
| Flan-PaLM 540B (3-shot, fine-tuned, CoT + SC) | 66.5 | Scaling Instruction-Finetuned Language Models | |
| PaLM 540B | 38.3 | Scaling Instruction-Finetuned Language Models | |
| Flan-PaLM 540B (3-shot, fine-tuned) | 48.2 | Scaling Instruction-Finetuned Language Models | |
| PaLM 540B (CoT + self-consistency) | 62.2 | Scaling Instruction-Finetuned Language Models |
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