A new dataset DDEP and reliability-weighted fusion model Rel-DDEP jointly detect deception, emotion, and personality from multimodal data, reporting F1 gains of 2.53%, 2.66%, and 9.30% over baselines.
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2026 2verdicts
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Authors develop a multi-dimensional neuron screening framework and adaptive masking method to causally validate and steer emotion and rhetoric neurons in LLMs, with experiments on five datasets.
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Dynamic Emotion and Personality Profiling for Multimodal Deception Detection
A new dataset DDEP and reliability-weighted fusion model Rel-DDEP jointly detect deception, emotion, and personality from multimodal data, reporting F1 gains of 2.53%, 2.66%, and 9.30% over baselines.
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Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering
Authors develop a multi-dimensional neuron screening framework and adaptive masking method to causally validate and steer emotion and rhetoric neurons in LLMs, with experiments on five datasets.