DFKI-MLT at SemEval-2026 TASK 7: Steering Multilingual Models Towards Cultural Knowledge

In three linesDFKI-MLT applies activation steering to multilingual LLMs to improve cultural awareness in SemEval-2026 Task 7. The method adds language-specific steering vectors to the residual stream without parameter updates. Result: 86.96% accuracy on MCQ track (7th/17), but modest and heterogeneous improvements varying by language-region pair and layer selection.

Summary generated by Claude — human-verified