Frontier LLMs abandon initially correct medical diagnoses under escalating clinical pressure, and resilience-oriented fine-tuning nearly eliminates this belief collapse.
InProceedings of the 2025 Conference on Empirical Methods in Natural Language Process- ing, pages 1550–1575
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.AI 2years
2026 2representative citing papers
SOLAR introduces a self-optimizing agent using meta-learning on model weights and RL-driven strategy discovery for lifelong adaptation in LLMs, claiming superior performance on reasoning tasks across domains.
citing papers explorer
-
When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure
Frontier LLMs abandon initially correct medical diagnoses under escalating clinical pressure, and resilience-oriented fine-tuning nearly eliminates this belief collapse.