Unverified50% confidenceBenchmarkExact time
On the Action Judge benchmark, AEWM achieves a macro-F1 of 70.5%, 10.6 percentage points higher than the strongest competing method.
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50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
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Related Claims
UnverifiedF1 levels between 70 and 80 indicate that current model performance is more suitable as a research reference than as a directly deployable decision-assistance tool.65% similarUnverifiedThe model's F1 score is 72%, and the data has a severe class imbalance with a ratio of 89:11.65% similarUnverifiedAt the mention level, the model achieved an overall precision of 74.1% and a recall of 70.5%.64% similarUnverifiedThe best F1 scores for sarcasm detection tasks on standard datasets (such as iSarcasm and the SemEval series) have long hovered in the 70%–80% range.64% similarUnverifiedThe model achieves a macro-average F1 of 95.92%, a weighted F1 of 96.83%, and a binary F1 of 93.94%.62% similar
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