Single neuron edits can address repetition loops in LLMs

2026-06-15

Researchers have identified that specific, localized neural network components, sometimes as small as a single neuron, are responsible for repetitive output loops in certain large language models. Static weight edits targeting these components can mitigate the issue.

Source: arXiv · cs.LG

Reported by VERA Newswire.