🏢 UBC
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
·3378 words·16 mins·
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Natural Language Processing
Large Language Models
🏢 UBC
LLMs’ iterative interactions amplify subtle biases; this paper uses a Bayesian Iterated Learning framework to explain this phenomenon and offers strategies to guide LLM evolution.