Papers by Filip Gralinski
Oddballness: universal anomaly detection with language models (2025.coling-main)
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| Challenge: | a new method to detect anomalies in texts uses a metric called oddballness . the method considers probabilities generated by a language model but not low-likelihood tokens . |
| Approach: | They propose a method to detect anomalies in texts using unsupervised language models . they define oddballness as a function that measures how strange a given token is . |
| Outcome: | The proposed method is better than state-of-the-art models for grammatical error detection tasks. |