We describe the AKARROUCH submission to DialectSentEval 2026 Subtask 2, which requires reversing the sentiment of an Arabic dialect sentence while preserving its content. We fine-tune AraT5v2 for direction-controlled generation and use it to produce multiple candidates. We then rerank these candidates using CAMeLBERT target-sentiment probabilities and source-to-candidate chrF. The system ranked second in the official evaluation, achieving 78.51% sentiment accuracy, 49.82 BLEU, and 70.12 chrF.