AINeutralarXiv – CS AI · 7h ago6/10
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Understanding LLM Behavior in Multi-Target Cross-Lingual Summarization
Researchers introduce MEA, a new benchmark for multi-target cross-lingual summarization (MTXLS) covering 24 languages, and reveal that LLMs perform this task substantially worse than English monolingual summarization. A novel layer-wise analysis shows that translation and summarization behaviors emerge jointly in later layers rather than as separate stages, enabling a new activation steering method that improves MTXLS quality across languages.