March 6, 2024, 5:48 a.m. | Anmol Goel, Nico Daheim, Iryna Gurevych

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.03029v1 Announce Type: new
Abstract: Reframing a negative into a positive thought is at the crux of several cognitive approaches to mental health and psychotherapy that could be made more accessible by large language model-based solutions. Such reframing is typically non-trivial and requires multiple rationalization steps to uncover the underlying issue of a negative thought and transform it to be more positive. However, this rationalization process is currently neglected by both datasets and models which reframe thoughts in one step. …

abstract arxiv cognitive crux cs.cl health issue language language model large language large language model mental health multiple negative positive reasoning solutions text thought type

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