LDTL trains LLM agents to follow uncertainty-guided latent diagnostic trajectories, outperforming baselines on MIMIC-CDM with higher accuracy and fewer tests.
In Advances in Neural Information Processing Systems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Uncertainty-Guided Latent Diagnostic Trajectory Learning for Sequential Clinical Diagnosis
LDTL trains LLM agents to follow uncertainty-guided latent diagnostic trajectories, outperforming baselines on MIMIC-CDM with higher accuracy and fewer tests.