How Far Can You Get Without a GPU? A Systematic Benchmark of Lightweight Hallucination Detection Across Question Answering, Dialogue, and Summarisation

Name: How Far Can You Get Without a GPU? A Systematic Benchmark of Lightweight Hallucination Detection Across Question Answering, Dialogue, and Summarisation
Uploaded: 2026-10-06T12:37:02.006184+00:00
Duration: 898 s
Description: This study tested five lightweight, CPU-friendly methods for detecting AI hallucinations across question answering, dialogue, and summarisation using publicly available models. The similarity-NLI ensemble performed best on QA (F1=0.792), while all methods failed on summarisation due to subtle factual edits in long texts. It shows detection viability depends heavily on the specific task.

This study tested five lightweight, CPU-friendly methods for detecting AI hallucinations across question answering, dialogue, and summarisation using publicly available models. The similarity-NLI ensemble performed best on QA (F1=0.792), while all methods failed on summarisation due to subtle factual edits in long texts. It shows detection viability depends heavily on the specific task.

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