Row 99668
Content Data
This page contains data entry 99668 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
They claim downstream benchmark performance boost compared to "just adjusting" baseline. Which looks sizeable enough to not be explained by pure noise (not much details about robustness though). And which looks to big to be explained by the curriculum effects, judging by their ablation experiments. Where exactly it comes from is unclear to me.
| Field | Value |
|---|---|
| text | They claim downstream benchmark performance boost compared to "just adjusting" baseline. Which looks sizeable enough to not be explained by pure noise (not much details about robustness though). And which looks to big to be explained by the curriculum effects, judging by their ablation experiments. Where exactly it comes from is unclear to me. |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-25 |
| username_encoded | Z0FBQUFBQm5Lak14OGhVQWliNC14bnNkcU03RFBXbkIzN25wTm9uLU1TSXJHU3V4MG04X0RsLTBLbmQ0VE5rNWt4R3JaUnFrOS0wNU84eDdTTnNabW1xb2dBcVk4NDJfVklRTGJubnVKNEgzOW5kRmJtWkk0WEE9 |
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Raw Record
{
"text": "They claim downstream benchmark performance boost compared to \"just adjusting\" baseline. Which looks sizeable enough to not be explained by pure noise (not much details about robustness though). And which looks to big to be explained by the curriculum effects, judging by their ablation experiments. Where exactly it comes from is unclear to me.",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-25",
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}
Entry Information
- Entry ID: 99668
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000