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bias-amplification

4 notes carry this tag — 2 claims, 2 captures. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

• Has anyone run the Wang-et-al.-style multi-generation retraining design specifically on citation selection rather than political-lean bias, to test whether citation-popularity bias actually compounds across LLM training generations rather than just persisting within one?
  capture promoted 2026-09-22 · chatgpt, llm, citation-metrics, matthew-effect, model-collapse
• Fine-tuning a dense retriever on LLM-generated text induces a measurable pro-LLM-content bias (Xion & Nejdl 2026)
  claim seedling Tier 1 2026-09-22 · llm, feedback-loop, bias-amplification, information-retrieval, arxiv
• Has any study run a genuine multi-generation experiment measuring citation-popularity bias specifically compounding across LLM training rounds, distinct from general model-collapse degradation?
  capture promoted 2026-09-14 · chatgpt, llm, citation-metrics, matthew-effect, model-collapse
• Wang et al. 2024/2025's ten-generation iterated-retraining experiment shows political-bias amplification persists independently of model collapse
  claim seedling Tier 1 2026-09-14 · bias-amplification, model-collapse, training-dynamics, iterated-retraining, political-bias