In a 10-case rheumatology benchmark, a 46-billion-parameter model with retrieval-augmented generation scored highest on diagnosis and treatment, but the result lacks error bars and a released dataset.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Performance and Practical Considerations of Large and Small Language Models in Clinical Decision Support in Rheumatology
In a 10-case rheumatology benchmark, a 46-billion-parameter model with retrieval-augmented generation scored highest on diagnosis and treatment, but the result lacks error bars and a released dataset.