نسخة أولية وصول مفتوح
Recursive LLM Degradation in Biomedical Question Answering: A Cross-Generation Study
Repeatedly training language models on their own generated data may create a synthetic-data feedback loop in which errors and distributional biases are reintroduced into subsequent training datasets. This paper studies that process in biomedical question answering (QA) using PubMedQA and two Qwen2.5 model sizes, 0.5B a …