言語モデルにも睡眠が必要
本論文は、大規模言語モデル（LLM）が人間の睡眠と類似した「休息」プロセスを必要とする可能性を探る。継続的な学習によりモデルの性能が低下する「破滅的忘却」問題に対し、人工的な睡眠フェーズを導入することで性能回復が可能かを検証する。実験では、モデルに疑似睡眠状態（ノイズ注入や重みの再正規化など）を適用し、忘却された知識の再活性化やタスク性能の改善が観察された。
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