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Number of semantic errors made by each modified model over 10,000 runs, with the baseline of the s weights set to .01. Reduced s weights are .006 (60% of the baseline value).
| Model: competitor s weights | Mean number of semantic errors | |||
|---|---|---|---|---|
| Baseline | Reduced | |||
| Model: target s weights | Baseline | 1371 | 1039 | 1205 |
| Reduced | 1915 | 1501 | 1708 | |
| Mean number of semantic errors | 1643 | 1270 | 1456.5 | |
