A two-phase LoRA fine-tuning pipeline, trained on line-level labels generated by a reasoning language model, improves detection of implicit mental manipulation in the MentalManip conversation benchmark.
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Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation
A two-phase LoRA fine-tuning pipeline, trained on line-level labels generated by a reasoning language model, improves detection of implicit mental manipulation in the MentalManip conversation benchmark.