The T5-XL LLM, when designed to handle questions related to the Patient Health Questionnaire-9 (PHQ-9), produces consistent outcomes regardless of how users phrase their queries because it incorporates clinical assessment methods. In contrast, the FlanT5 LLM produced inadequate responses because its training involved over 1800 datasets, which constrained its capacity for fine-tuning compared to T5.

Authors

• Person: Not available Organization: arXiv
  Building Trustworthy NeuroSymbolic AI Systems - arXiv

Sources

• Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org arXiv via serper

Referenced by nodes (2)

• T5 concept
• PHQ-9 concept