2026
SAMAS: A SPECTRUM-GUIDED MULTI-AGENT SYSTEM FOR ACHIEVING STYLE FIDELITY IN LITERARY TRANSLATION
ICASSP 2026poster
Modern large language models (LLMs) excel at generating fluent and faithful translations. However, they struggle to preserve an author's unique literary style, often producing semantically correct but generic outputs. This limitation stems from the inability of current single-model and static multi-…