'Neural howlround' in large language models: a self-reinforcing bias phenomenon, and a dynamic attenuation solution
Large language model (LLM)-driven AI systems may exhibit an inference failure mode we term `neural howlround,' a self-reinforcing cognitive loop where certain highly weighted inputs become dominant, leading to entrenched response patterns resistant t…arXiv.org
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