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Latent Fact-Checking: Detecting Misinformation through Activation Engineering

Pedro T. Barcelos, Otávio Parraga, Marcelo M. Mussi, Lucas M. Fraga, Lucas S. Kupssinskü, Rodrigo C. Barros · Aug 5, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 28% Sparse protocol signal Freshness: Warm Status: Ready
Coding
  • We evaluate the method across 11 models from the Gemma, Llama, and Qwen families, ranging from 270M to 12B parameters, on three fact-checking benchmarks: AVeriTeC, LIAR, and FACTors.
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