Loong: A Human-Like Long Document Translation Agent with Observe-and-Act Adaptive Context Selection

ArXi:2605.30274v1 Announce Type: cross Document-level translation remains one of the most challenging tasks for large language models, which are constrained by limited context windows that impede global cohesion, while simultaneously suffering from redundant contextual information that degrades translation quality. To address this, we propose a human-like long document translation agent called Loong, which leverages a 3E memory module (Essence-Exemplar-Entity) to summaries, sentence pairs, and entity records as historical context.