Dynamic Programming on Dynamic Programming Sequence Length 5
100Accuracyfinetuned
Evaluation Results
| Method | Links | |
|---|---|---|
| finetunedModel=text-davinci-003, #-shots=02023.08 | 100 | |
| SKiCModel=GPT4, #-shots=22023.08 | 100 | |
| SKiCModel=ChatGPT, #-shots=22023.08 | 96 | |
| CoTModel=GPT4, #-shots=42023.08 | 91 | |
| CoTModel=ChatGPT, #-shots=42023.08 | 76 | |
| 4-shotsModel=GPT4, #-shots=42023.08 | 70.5 | |
| SKiCModel=text-davinci-003, #-shots=22023.08 | 62.5 | |
| zero-shotModel=GPT4, #-shots=02023.08 | 42.5 | |
| CoTModel=text-davinci-003, #-shots=42023.08 | 22 | |
| 4-shotsModel=text-davinci-003, #-shots=42023.08 | 18 | |
| 4-shotModel=ChatGPT, #-shots=42023.08 | 18 | |
| zero-shotModel=ChatGPT, #-shots=02023.08 | 10 | |
| zero-shotModel=text-davinci-003, #-shots=02023.08 | 4 |