Papers by Oscar Lithgow-Serrano
BUST: Benchmark for the evaluation of detectors of LLM-Generated Text (2024.naacl-long)
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| Challenge: | Using the benchmark, we evaluated 5 detectors and found substantial performance variance across tasks. |
| Approach: | They propose to evaluate detectors of texts generated by instruction-tuned large language models (LLMs) using a benchmark dataset, they evaluated 5 detectors and found substantial performance variance across tasks. |
| Outcome: | The proposed benchmarks evaluated 5 detectors and found substantial performance variance across tasks. |