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
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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.
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SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation
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.