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OpenCompass Hub
BUST
BUST is a comprehensive benchmark for evaluating synthetic text detectors, focusing on their effectiveness against outputs from various Large Language Models (LLMs).
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- Dalle Molle Institute for Artificial Intelligence Research (IDSIA)
- Benchmark release
- 2024-06-16
- Collected
- 2026-08-18
- Modality
- Not recorded
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 0
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.