| ▲ | tadfisher 4 hours ago | |||||||
In what world is 55.7 the same number as 54.8? What variance is acceptable to publish without a retraction? | ||||||||
| ▲ | nerdsniper 4 hours ago | parent | next [-] | |||||||
That seems like entirely reasonable variance to me for AI models. For my purposes, that absolutely counts as a solid "replication". I'd probably accept +/- 5 percentage points even. | ||||||||
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| ▲ | Atotalnoob 3 hours ago | parent | prev | next [-] | |||||||
There is randomness in LLMs. Both papers authors probably ran the bench 1-N times. Depending on that, they might select an average, max, least, etc. They might also have discarded outliers. Like the other person said 5% variation is probably expected | ||||||||
| ▲ | jll29 2 hours ago | parent | prev [-] | |||||||
I don't know who downvoted the parent or why, but it's a fair question IMHO. The answer is there can be dramatic difference running a benchmark one time, because LLMs are not deterministic. A proper methodology would ask each question 20 times and calculate the mean correctness across experiments. The reason is that the temperature parameter introduces random behavior. | ||||||||