Papers by Mitchell Plyler
SENTRA: Selected-Next-Token Transformer for LLM Text Detection (2025.findings-emnlp)
Copied to clipboard
| Challenge: | SENTRA is a general-purpose, supervised LLM text detector . it detects LLM-generated text that is not explicitly declared as such . |
| Approach: | They propose a general-purpose LLM text detector that detects unlabeled text . they use a transformer-based encoder that leverages selected-next-token sequences . |
| Outcome: | The proposed classifier outperforms baselines on 24 domains of text. |